Instructions to use sfafasfafhuu/MyAwesomeModel-TestRepository with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sfafasfafhuu/MyAwesomeModel-TestRepository with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sfafasfafhuu/MyAwesomeModel-TestRepository")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sfafasfafhuu/MyAwesomeModel-TestRepository") model = AutoModel.from_pretrained("sfafasfafhuu/MyAwesomeModel-TestRepository", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Push best model checkpoint (step_1000) + 3-decimal benchmark results to MyAwesomeModel-TestRepository
2f2bc7d Download pytorch_model.bin from sfafasfafhuu/MyAwesomeModel-TestRepository: direct link, hf CLI and curl.
- Browser
- Download file 23 Bytes
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https://huggingface.co/sfafasfafhuu/MyAwesomeModel-TestRepository/resolve/main/pytorch_model.bin
- Command line
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hf download hf://sfafasfafhuu/MyAwesomeModel-TestRepository/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/sfafasfafhuu/MyAwesomeModel-TestRepository/resolve/main/pytorch_model.bin
23 Bytes
| ...dummy binary data... |