GunaKoppula
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Browse files- README.md +55 -0
- added_tokens.json +40 -0
- config.json +187 -0
- generation_config.json +4 -0
- merges.txt +0 -0
- model.safetensors.index.json +727 -0
- people.jpg +0 -0
- preprocessor_config.json +28 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +327 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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---
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---
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license: mit
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datasets:
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- liuhaotian/LLaVA-Instruct-150K
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- liuhaotian/LLaVA-Pretrain
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language:
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- en
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pipeline_tag: visual-question-answering
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---
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# Model Card for Model ID
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This is a multimodal implementation of [Phi2](https://huggingface.co/microsoft/phi-2) model inspired by [LlaVA-Phi](https://github.com/zhuyiche/llava-phi).
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## Model Details
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1. LLM Backbone: [Phi2](https://huggingface.co/microsoft/phi-2)
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2. Vision Tower: [clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336)
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4. Pretraining Dataset: [LAION-CC-SBU dataset with BLIP captions(200k samples)](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain)
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5. Finetuning Dataset: [Instruct 150k dataset based on COCO](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K)
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6. Finetuned Model: [RaviNaik/Llava-Phi2](https://huggingface.co/RaviNaik/Llava-Phi2)
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### Model Sources
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<!-- Provide the basic links for the model. -->
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- **Original Repository:** [Llava-Phi](https://github.com/zhuyiche/llava-phi)
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- **Paper [optional]:** [LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model](https://arxiv.org/pdf/2401.02330)
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- **Demo [optional]:** [Demo Link](https://huggingface.co/spaces/RaviNaik/MultiModal-Phi2)
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## How to Get Started with the Model
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Use the code below to get started with the model.
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1. Clone this repository and navigate to llava-phi folder
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```bash
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git clone https://github.com/zhuyiche/llava-phi.git
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cd llava-phi
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```
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2. Install Package
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```bash
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conda create -n llava_phi python=3.10 -y
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conda activate llava_phi
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pip install --upgrade pip # enable PEP 660 support
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pip install -e .
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```
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3. Run the Model
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```bash
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python llava_phi/eval/run_llava_phi.py --model-path="RaviNaik/Llava-Phi2" \
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--image-file="https://huggingface.co/RaviNaik/Llava-Phi2/resolve/main/people.jpg?download=true" \
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--query="How many people are there in the image?"
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```
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### Acknowledgement
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This implementation is based on wonderful work done by: \
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[LlaVA-Phi](https://github.com/zhuyiche/llava-phi) \
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[Llava](https://github.com/haotian-liu/LLaVA) \
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[Phi2](https://huggingface.co/microsoft/phi-2)
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added_tokens.json
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}
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config.json
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{
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"_name_or_path": "checkpoints/llavaPhi-v0-3b-finetune/checkpoint-4000",
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"architectures": [
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"LlavaPhiForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"embd_pdrop": 0.0,
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"eos_token_id": 2,
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"freeze_vision_tower": false,
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"hidden_act": "gelu_new",
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"hidden_size": 2560,
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"image_aspect_ratio": "pad",
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"initializer_range": 0.02,
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"intermediate_size": 10240,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 2048,
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"mm_projector_lr": null,
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"mm_use_im_patch_token": false,
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"mm_use_im_start_end": false,
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"model_type": "llava_phi",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"partial_rotary_factor": 0.4,
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"pretraining_tp": 1,
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"qk_layernorm": false,
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"resid_pdrop": 0.1,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"tokenizer_model_max_length": 2048,
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"tokenizer_padding_side": "right",
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"torch_dtype": "float32",
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"transformers_version": "4.36.2",
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"tune_mm_mlp_adapter": true,
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"use_cache": false,
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"vision_config": {
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"mm_projector": {
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"_name_or_path": "",
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"add_cross_attention": false,
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"is_decoder": false,
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"LABEL_1": 1
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},
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"length_penalty": 1.0,
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"max_length": 20,
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"min_length": 0,
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"mm_hidden_size": 1024,
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"mm_projector_type": "mlp2x_gelu",
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"model_type": "llava_phi_projector",
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"temperature": 1.0,
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"use_bfloat16": false
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},
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"hidden_act": "quick_gelu",
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"image_size": 336,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"is_decoder": false,
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"layer_norm_eps": 1e-05,
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"length_penalty": 1.0,
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"max_length": 20,
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"min_length": 0,
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"mm_vision_select_feature": "patch",
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"mm_vision_select_layer": -2,
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"model_type": "llava_phi_clip_vision_model",
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"no_repeat_ngram_size": 0,
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"num_attention_heads": 16,
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"num_beam_groups": 1,
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"num_beams": 1,
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"num_hidden_layers": 24,
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"num_return_sequences": 1,
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"output_attentions": false,
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"output_hidden_states": false,
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"prefix": null,
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"problem_type": null,
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"projection_dim": 768,
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"pruned_heads": {},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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"return_dict": true,
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"return_dict_in_generate": false,
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"sep_token_id": null,
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"suppress_tokens": null,
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"task_specific_params": null,
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"temperature": 1.0,
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"tf_legacy_loss": false,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": true,
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"tokenizer_class": null,
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"top_k": 50,
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"top_p": 1.0,
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"torch_dtype": null,
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"torchscript": false,
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"transformers_version": "4.36.2",
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"typical_p": 1.0,
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"use_bfloat16": false
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}
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},
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"vocab_size": 51200
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}
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generation_config.json
ADDED
@@ -0,0 +1,4 @@
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{
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"_from_model_config": true,
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"transformers_version": "4.36.2"
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}
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merges.txt
ADDED
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model.safetensors.index.json
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preprocessor_config.json
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|
11 |
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"feature_extractor_type": "CLIPFeatureExtractor",
|
12 |
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"image_mean": [
|
13 |
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0.48145466,
|
14 |
+
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|
15 |
+
0.40821073
|
16 |
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],
|
17 |
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"image_processor_type": "CLIPImageProcessor",
|
18 |
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"image_std": [
|
19 |
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|
20 |
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|
21 |
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|
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|
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|
25 |
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"size": {
|
26 |
+
"shortest_edge": 336
|
27 |
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}
|
28 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
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|
1 |
+
{
|
2 |
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"bos_token": {
|
3 |
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"content": "<|endoftext|>",
|
4 |
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"lstrip": false,
|
5 |
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"normalized": false,
|
6 |
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"rstrip": false,
|
7 |
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"single_word": false
|
8 |
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},
|
9 |
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"eos_token": {
|
10 |
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|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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},
|
16 |
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"pad_token": {
|
17 |
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"content": "<|endoftext|>",
|
18 |
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|
19 |
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"normalized": false,
|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,327 @@
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|
1 |
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{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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295 |
+
"lstrip": false,
|
296 |
+
"normalized": true,
|
297 |
+
"rstrip": false,
|
298 |
+
"single_word": false,
|
299 |
+
"special": false
|
300 |
+
},
|
301 |
+
"50293": {
|
302 |
+
"content": "\t\t\t",
|
303 |
+
"lstrip": false,
|
304 |
+
"normalized": true,
|
305 |
+
"rstrip": false,
|
306 |
+
"single_word": false,
|
307 |
+
"special": false
|
308 |
+
},
|
309 |
+
"50294": {
|
310 |
+
"content": "\t\t",
|
311 |
+
"lstrip": false,
|
312 |
+
"normalized": true,
|
313 |
+
"rstrip": false,
|
314 |
+
"single_word": false,
|
315 |
+
"special": false
|
316 |
+
}
|
317 |
+
},
|
318 |
+
"bos_token": "<|endoftext|>",
|
319 |
+
"clean_up_tokenization_spaces": true,
|
320 |
+
"eos_token": "<|endoftext|>",
|
321 |
+
"errors": "replace",
|
322 |
+
"model_max_length": 2048,
|
323 |
+
"pad_token": "<|endoftext|>",
|
324 |
+
"padding_side": "right",
|
325 |
+
"tokenizer_class": "CodeGenTokenizer",
|
326 |
+
"unk_token": "<|endoftext|>"
|
327 |
+
}
|
vocab.json
ADDED
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|
|