Update README.md
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README.md
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@@ -24,8 +24,11 @@ ELlama1-0.7b - pretrain модель, обученная на семпле из
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import torch
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from transformers import AutoModelForCausalLM, PreTrainedTokenizerFast
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model_path = "dmitry315/ELlama1-0.7b"
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model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.float16, trust_remote_code=True)
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tokenizer = PreTrainedTokenizerFast.from_pretrained(model_path, trust_remote_code=True)
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text = "Γεια σας , δεν ξερω τιποτα για τον Ηροδοτο , μπορειτε να μου πειτε γι ' αυτον ;"
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@@ -41,8 +44,8 @@ with torch.no_grad():
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outputs = model.generate(
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inputs.input_ids,
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max_length=128,
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temperature=
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top_p=
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do_sample=True,
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pad_token_id=tokenizer.eos_token_id,
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num_return_sequences=1
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import torch
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from transformers import AutoModelForCausalLM, PreTrainedTokenizerFast
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device = "cuda"
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model_path = "dmitry315/ELlama1-0.7b"
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model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.float16, trust_remote_code=True)
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model.to(device)
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tokenizer = PreTrainedTokenizerFast.from_pretrained(model_path, trust_remote_code=True)
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text = "Γεια σας , δεν ξερω τιποτα για τον Ηροδοτο , μπορειτε να μου πειτε γι ' αυτον ;"
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outputs = model.generate(
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inputs.input_ids,
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max_length=128,
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temperature=1.0,
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top_p=50,
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do_sample=True,
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pad_token_id=tokenizer.eos_token_id,
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num_return_sequences=1
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