Instructions to use sfaafaf45454/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sfaafaf45454/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sfaafaf45454/MyAwesomeModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sfaafaf45454/MyAwesomeModel") model = AutoModel.from_pretrained("sfaafaf45454/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload best checkpoint step_1000
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Update README: Add complete 15 benchmark results (3 decimal places)
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Add best model checkpoint: step_1000 (final trained version)
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Update README with detailed evaluation results for all 15 benchmarks (3 decimal places)
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Upload best checkpoint (step_1000) with evaluation results
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initial commit
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