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README.md
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```
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``` python
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import transformers
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import torch
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from transformers import AutoTokenizer, MixtralForCausalLM
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device = "cuda" # the device to load the model onto
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model = "{{ username }}/{{ model_name }}"
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imodel = MixtralForCausalLM.from_pretrained(model)
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tokenizer = AutoTokenizer.from_pretrained(model)
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inputs = tokenizer(prompt, return_tensors="pt")
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# Generate
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generate_ids = imodel.generate(inputs.input_ids, max_length=30)
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tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
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```
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-WORKING MODEL-No Errors
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```
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-WORKING MODEL-No Errors
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