30 lines
1005 B
Markdown
30 lines
1005 B
Markdown
---
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language:
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- en
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pipeline_tag: text-generation
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model: PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T
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dataset: ArmelR/oasst1_guanaco_english
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license: apache-2.0
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---
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TinyLLama 1.5T checkpoint trained to answer questions.
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```
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f"{'prompt'}\n{'completion'}\n<END>"
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```
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No special formatting, just question, then newline to begin the answer.
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```
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from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
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pipe = pipeline("text-generation", model="Corianas/tiny-llama-miniguanaco-1.5T")# Load model directly
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tokenizer = AutoTokenizer.from_pretrained("Corianas/tiny-llama-miniguanaco-1.5T")
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model = AutoModelForCausalLM.from_pretrained("Corianas/tiny-llama-miniguanaco-1.5T")
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# Run text generation pipeline with our next model
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prompt = "What is a large language model?"
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pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=500)
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result = pipe(f"<s>{prompt}")
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print(result[0]['generated_text'])
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```
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Result will have the answer, ending with \<END\> on a new line. |