Instructions to use dfdgdg333/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dfdgdg333/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dfdgdg333/MyAwesomeModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dfdgdg333/MyAwesomeModel") model = AutoModel.from_pretrained("dfdgdg333/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Restore README.md to match workspace original verbatim (15 {RESULT} placeholders preserved)
Verified signature6001cef -
Restore README with actual evaluation scores for all 15 benchmarks (step_1000)
Verified signature6598ee7 -
Add figure fig3.png
Verified signature4ce5fee -
Add figure fig1.png
Verified signatured2205f5 -
Add figure fig2.png
Verified signaturefb7d798 -
Update README: fill all 15 benchmark evaluation results
Verified signature89374f6 -
Best checkpoint: step 1000 (latest trained step)
Verified signature315ed44 -
initial commit
Verified signatured360e12