Instructions to use safafa34235/MyAwesomeModel-TestRepository with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use safafa34235/MyAwesomeModel-TestRepository with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="safafa34235/MyAwesomeModel-TestRepository")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("safafa34235/MyAwesomeModel-TestRepository") model = AutoModel.from_pretrained("safafa34235/MyAwesomeModel-TestRepository", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
25 days ago
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Update README from workspace README with benchmark scores only
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Upload MyAwesomeModel selected checkpoint with detailed eval results
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Fix README benchmark score placeholders preserving workspace README content
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Update README preserving workspace content with benchmark scores filled in
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Push best checkpoint as MyAwesomeModel-TestRepository
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Sync repo README with workspace README; keep only benchmark score changes
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Upload best model checkpoint with detailed evaluation README
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Update README: fill in benchmark scores (3 decimal places), preserve all other content
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Push best checkpoint (step_1000, overall score=0.712) with detailed evaluation README
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initial commit
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