roneneldan
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Update readme.md
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readme.md
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from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
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model = AutoModelForCausalLM.from_pretrained('
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tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neo-125M")
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input_ids = tokenizer.encode(prompt, return_tensors="pt")
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# Generate completion
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output = model.generate(input_ids, max_length = 1000, num_beams=1
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# Decode the completion
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output_text = tokenizer.decode(output[0], skip_special_tokens=True)
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Model trained on the TinyStories dataset, see https://arxiv.org/abs/2305.07759
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------ EXAMPLE USAGE ---
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from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
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model = AutoModelForCausalLM.from_pretrained('roneneldan/TinyStories-8M')
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tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neo-125M")
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input_ids = tokenizer.encode(prompt, return_tensors="pt")
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# Generate completion
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output = model.generate(input_ids, max_length = 1000, num_beams=1)
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# Decode the completion
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output_text = tokenizer.decode(output[0], skip_special_tokens=True)
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