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alea-institute
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alea-institute
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python
from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained( "alea-institute/kl3m-007-500m-step100000", torch_dtype="auto", device_map="auto")tokenizer = AutoTokenizer.from_pretrained("alea-institute/kl3m-007-500m-step100000") inputs = tokenizer("The contract specifies", return_tensors="pt", return_token_type_ids=False)inputs = {k: v.to(model.device) for k, v in inputs.items()}outputs = model.generate(**inputs, max_new_tokens=100, temperature=0.8, top_p=0.95)print(tokenizer.decode(outputs[0], skip_special_tokens=True))Apache 2.0