|
--- |
|
license: other |
|
license_name: open-aleph-license |
|
license_link: LICENSE |
|
library_name: transformers |
|
pipeline_tag: text-generation |
|
--- |
|
|
|
This is the safetensors-conversion of `Pharia-1-LLM-7B-control-aligned`. |
|
We provide a joint model card for `Pharia-1-LLM-7B-control` and `Pharia-1-LLM-control-aligned`. Find this model card [here](https://huggingface.co/Aleph-Alpha/Pharia-1-LLM-7B-control). |
|
|
|
# Usage |
|
|
|
```python |
|
import torch |
|
|
|
from transformers import AutoModelForCausalLM, PreTrainedTokenizerFast |
|
|
|
|
|
INPUT = """<|begin_of_text|><|start_header_id|>system<|end_header_id|> |
|
|
|
You are a helpful assistant. You give engaging, well-structured answers to user inquiries.<|eot_id|><|start_header_id|>user<|end_header_id|> |
|
|
|
When was Rome founded?<|eot_id|><|start_header_id|>assistant<|end_header_id|> |
|
|
|
|
|
""" |
|
|
|
MODEL_ID = "Aleph-Alpha/Pharia-1-LLM-7B-control-aligned-hf" |
|
|
|
tokenizer = PreTrainedTokenizerFast.from_pretrained(MODEL_ID) |
|
model = AutoModelForCausalLM.from_pretrained(MODEL_ID, trust_remote_code=True, torch_dtype=torch.bfloat16) |
|
|
|
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") |
|
model = model.to(device) |
|
|
|
inputs = tokenizer(INPUT, return_token_type_ids=False, return_tensors="pt").to(device) |
|
outputs = model.generate(**inputs, max_new_tokens=50) |
|
generated_text = tokenizer.decode(outputs[0]) |
|
print(generated_text) |
|
``` |
