Instructions to use zharry29/step_benchmark_gpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zharry29/step_benchmark_gpt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("zharry29/step_benchmark_gpt") model = AutoModel.from_pretrained("zharry29/step_benchmark_gpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e5145224e0efd2893832399c4aad6b34be4cbef376cc942bc1d6b2d4f897f9c
- Size of remote file:
- 548 MB
- SHA256:
- 8f68f2ed7d0ce21b9f397ed3a32addbbbde178ba4aa640133a26a2a00c10c628
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