Instructions to use sdafasf2222222/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sdafasf2222222/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sdafasf2222222/MyAwesomeModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sdafasf2222222/MyAwesomeModel") model = AutoModel.from_pretrained("sdafasf2222222/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download figures/fig2.png from sdafasf2222222/MyAwesomeModel: direct link, hf CLI and curl.
- Browser
- Download file 410 Bytes
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https://huggingface.co/sdafasf2222222/MyAwesomeModel/resolve/main/figures/fig2.png
- Command line
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hf download hf://sdafasf2222222/MyAwesomeModel/figures/fig2.png
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curl -L -o fig2.png https://huggingface.co/sdafasf2222222/MyAwesomeModel/resolve/main/figures/fig2.png
410 Bytes
