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:
- 15da69bb6a06b909fca8103cf55eb95b51582536c149526dee30c28dc0225052
- Size of remote file:
- 1.84 kB
- SHA256:
- 1e572bcdbd62576789c63323b1a30c2e9feea98e96d7944c3006c8cfcbc3ddf3
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