Instructions to use SAD12D/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAD12D/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SAD12D/MyAwesomeModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SAD12D/MyAwesomeModel") model = AutoModel.from_pretrained("SAD12D/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload best checkpoint (step_1000, highest eval score) with filled model card
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initial commit
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