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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
7f8ce13
1
Parent(s): 9d36ee9
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,3 +8,5 @@ This model can then be used to fine tune for other tasks such as classification,
|
|
| 8 |
|
| 9 |
Language: English
|
| 10 |
pipeline_tag: fill-mask
|
|
|
|
|
|
|
|
|
| 8 |
|
| 9 |
Language: English
|
| 10 |
pipeline_tag: fill-mask
|
| 11 |
+
|
| 12 |
+
Author: Prithvishankar Srinivasan (prsrini@microsoft.com)
|