| | --- |
| | license: apache-2.0 |
| | --- |
| | # Gemma 2b fine-tuned for programming & data science. |
| |
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| |  |
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| | Dataset: MagiCoder |
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| |
|
| | ## 💻 Usage |
| |
|
| | ```python |
| | !pip install -qU transformers accelerate |
| | |
| | from transformers import AutoTokenizer |
| | import transformers |
| | import torch |
| | |
| | model = "Kukedlc/Gemma-2b-it-FT-Code" |
| | messages = [{"role": "user", "content": "What is a large language model?"}] |
| | |
| | tokenizer = AutoTokenizer.from_pretrained(model) |
| | prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
| | pipeline = transformers.pipeline( |
| | "text-generation", |
| | model=model, |
| | torch_dtype=torch.float16, |
| | device_map="auto", |
| | ) |
| | |
| | outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
| | print(outputs[0]["generated_text"]) |
| | ``` |