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-This model was trained on the TinyStories dataset - https://arxiv.org/abs/2305.07759
-
-In order to use the model, put the files config.json and pytorch_model.pt in any folder, and then run the following code:
-
-from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
-
-model = AutoModelForCausalLM.from_pretrained('path to folder here') # REPLACE BY PATH
-
-tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neo-125M")
-
-prompt = "Once upon a time there was"
-
-input_ids = tokenizer.encode(prompt, return_tensors="pt")
-
-# Generate completion
-output = model.generate(input_ids, max_length = 1000, num_beams=1, generation_config = generation_config)
-
-# Decode the completion
-output_text = tokenizer.decode(output[0], skip_special_tokens=True)
-
-# Print the generated text
-print(output_text)