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--- |
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license: apache-2.0 |
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language: |
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- fr |
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- en |
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tags: |
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- code |
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widget: |
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- text: "<s> [|User|] Comment faire un bon plat ? </s>[|Assistant|]" |
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--- |
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SFT on a synthetic custom (french) dataset (2k), from general question answering, problem solving to code question. |
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It's a POC. |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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from peft import PeftModel |
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import torch |
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model = AutoModelForCausalLM.from_pretrained( |
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"teilomillet/MiniMerlin-3B", |
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revision="0.1", |
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return_dict=True, |
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torch_dtype=torch.bfloat16, |
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device_map='auto' |
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) |
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tokenizer = AutoTokenizer.from_pretrained("teilomillet/MiniMerlin-3B") |
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tokenizer.pad_token = tokenizer.eos_token |
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text = "[|User|] Comment faire un bon plat ? </s>[|Assistant|]" |
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inputs = tokenizer(text, return_tensors="pt").to(0) |
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outputs = model.generate(**inputs, max_new_tokens=800) |
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print(tokenizer.decode(outputs[0], skip_special_tokens=False)) |
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``` |
