Instructions to use dongbobo/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dongbobo/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dongbobo/MyAwesomeModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dongbobo/MyAwesomeModel") model = AutoModel.from_pretrained("dongbobo/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload MyAwesomeModel (card, figures, checkpoints, evaluation)
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Clean up repo: remove evaluation harness and non-selected checkpoints; keep selected step_1000 model assets
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Upload MyAwesomeModel (checkpoint step_1000): weights, config, figures and evaluation assets
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Sync evaluation harness (incl. fixes to code_generation/dialogue_generation eval scripts)
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Initial upload of full bundle
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