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--- |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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#### This Model |
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This is an intermediate checkpoint with 480K steps and 1007B tokens. |
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#### How to use |
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You will need the transformers>=4.31 |
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```python |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "OpenGenerativeAI/testModel" |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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sequences = pipeline( |
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'The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. The training has started on 2023-09-01.', |
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do_sample=True, |
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top_k=10, |
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num_return_sequences=1, |
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repetition_penalty=1.5, |
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eos_token_id=tokenizer.eos_token_id, |
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max_length=500, |
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) |
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for seq in sequences: |
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print(f"Result: {seq['generated_text']}") |
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``` |
