Instructions to use DSAD12DSA4TRFDS/MyAwesomeModel-TestRepository with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DSAD12DSA4TRFDS/MyAwesomeModel-TestRepository with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DSAD12DSA4TRFDS/MyAwesomeModel-TestRepository")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DSAD12DSA4TRFDS/MyAwesomeModel-TestRepository") model = AutoModel.from_pretrained("DSAD12DSA4TRFDS/MyAwesomeModel-TestRepository", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Restore full workspace README, fill only benchmark {RESULT} scores (3 decimals)
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Push best checkpoint (step_1000) with evaluation README
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Restore original workspace README, fill in benchmark scores only (3 decimals)
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Add README with 15 benchmark results (3 decimals)
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Push best checkpoint step_1000
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initial commit
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