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--- |
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tags: |
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- autotrain |
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- text-generation-inference |
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- text-generation |
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library_name: transformers |
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base_model: bfuzzy1/acheron-d |
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widget: |
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- messages: |
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- role: user |
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content: What is your favorite condiment? |
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license: other |
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datasets: |
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- eth-dl-rewards/math-problems-for-sft |
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--- |
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# The M is for Math. |
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# Usage |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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import torch |
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model_path = "bfuzzy1/acheron-m" |
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tokenizer = AutoTokenizer.from_pretrained(model_path) |
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model = AutoModelForCausalLM.from_pretrained( |
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model_path, |
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device_map="auto", |
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torch_dtype='auto', |
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trust_remote_code=True |
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) |
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messages = [ |
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{"role": "user", "content": "What's 2 + 2 -3?"} |
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] |
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input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt') |
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output_ids = model.generate( |
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input_ids.to('mps' if torch.backends.mps.is_available() else 'cpu'), |
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max_new_tokens=100 |
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) |
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response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True) |
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print(response) |
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``` |
