Instructions to use microsoft/SportsBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/SportsBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/SportsBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/SportsBERT") model = AutoModelForMaskedLM.from_pretrained("microsoft/SportsBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signaturea11c970
-
Update README.md
f424226
-
Update README.md
79260fc
-
upload flax model
10b7226 -
allow flax
64e766f
-
Update README.md
7f8ce13 -
Update Readme
9d36ee9 -
Adding model files
bf6af8b -
Create README.md
da4a769 -
initial commit
49061e5