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pipeline_tag: text-generation |
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Not my model(obviously); downloaded the Mistral release model from https://models.mistralcdn.com/mistral-7b-v0-2/mistral-7B-v0.2.tar and uploaded for my own sanity(and fine-tuning), since it's still not uploaded on Mistral repo. |
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The standard code works: |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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import torch |
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model = AutoModelForCausalLM.from_pretrained("redscroll/Mistral-7B-v0.2", torch_dtype=torch.bfloat16, device_map = "auto") |
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tokenizer = AutoTokenizer.from_pretrained("redscroll/Mistral-7B-v0.2") |
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input_text = "In my younger and more vulnerable years" |
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input_ids = tokenizer(input_text, return_tensors = "pt").to("cuda") |
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outputs = model.generate(**input_ids, max_new_tokens = 500, pad_token_id=tokenizer.eos_token_id, eos_token_id=tokenizer.eos_token_id) |
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print(tokenizer.decode(outputs[0])) |
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``` |
