code md
#18
by
hikapa
- opened
README.md
CHANGED
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@@ -20,7 +20,7 @@ batch_size=80,
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gradient_accumulation_steps=16
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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-33M')
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@@ -38,4 +38,5 @@ output = model.generate(input_ids, max_length = 1000, num_beams=1)
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output_text = tokenizer.decode(output[0], skip_special_tokens=True)
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# Print the generated text
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print(output_text)
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gradient_accumulation_steps=16
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------ EXAMPLE USAGE ---
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```
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from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
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model = AutoModelForCausalLM.from_pretrained('roneneldan/TinyStories-33M')
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output_text = tokenizer.decode(output[0], skip_special_tokens=True)
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# Print the generated text
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print(output_text)
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```
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