Instructions to use DSACT1HJ46A/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DSACT1HJ46A/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DSACT1HJ46A/MyAwesomeModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DSACT1HJ46A/MyAwesomeModel") model = AutoModel.from_pretrained("DSACT1HJ46A/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Document all 15 benchmark scores to three decimal places
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Use highest eval_accuracy as checkpoint selection criterion
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Publish best checkpoint step_1000 with full evaluation results
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Push selected best checkpoint with detailed evaluation README
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initial commit
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