Commit From AutoNLP

.gitattributes

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 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags: autonlp
+language: en
+widget:
+- text: "I love AutoNLP 🤗"
+datasets:
+- philschmid/autonlp-data-banking77_vs_comprehend
+---
+
+# Model Trained Using AutoNLP
+
+- Problem type: Multi-class Classification
+- Model ID: 3102256
+
+## Validation Metrics
+
+- Loss: 0.27382662892341614
+- Accuracy: 0.935064935064935
+- Macro F1: 0.934939412967268
+- Micro F1: 0.935064935064935
+- Weighted F1: 0.934939412967268
+- Macro Precision: 0.9372295644352715
+- Micro Precision: 0.935064935064935
+- Weighted Precision: 0.9372295644352717
+- Macro Recall: 0.9350649350649349
+- Micro Recall: 0.935064935064935
+- Weighted Recall: 0.935064935064935
+
+
+## Usage
+
+You can use cURL to access this model:
+
+```
+$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/models/philschmid/autonlp-banking77_vs_comprehend-3102256
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("philschmid/autonlp-banking77_vs_comprehend-3102256", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("philschmid/autonlp-banking77_vs_comprehend-3102256", use_auth_token=True)
+
+inputs = tokenizer("I love AutoNLP", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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pytorch_model.bin

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sample_input.pkl

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special_tokens_map.json

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+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}

tokenizer_config.json

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+{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "AutoNLP", "tokenizer_class": "RobertaTokenizer"}