| | --- |
| | license: other |
| | license_name: deepcode-ai |
| | license_link: LICENSE |
| | --- |
| | |
| | ### How to Use |
| | Here give some examples of how to use our model. |
| | #### Chat Model Inference |
| | ```python |
| | from transformers import AutoTokenizer, AutoModelForCausalLM |
| | tokenizer = AutoTokenizer.from_pretrained("deepcode-ai/coder", trust_remote_code=True) |
| | model = AutoModelForCausalLM.from_pretrained("deepcode-ai/coder", trust_remote_code=True, torch_dtype=torch.bfloat16).cuda() |
| | messages=[ |
| | { 'role': 'user', 'content': "write a quick sort algorithm in python."} |
| | ] |
| | inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device) |
| | # tokenizer.eos_token_id is the id of <|EOT|> token |
| | outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, top_k=50, top_p=0.95, num_return_sequences=1, eos_token_id=tokenizer.eos_token_id) |
| | print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True)) |
| | ``` |
