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")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/SportsBERT") model = AutoModelForMaskedLM.from_pretrained("microsoft/SportsBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e40d8f8bc4fa20de0458279666d680edd8e3808b8472002898758033ac66cbd0
- Size of remote file:
- 375 MB
- SHA256:
- af4ffd72cf4a6f9b7370e3161fd0550198f026a06be6fdf4d88178fe3b3858f1
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