Instructions to use leomaurodesenv/bert-soccer-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leomaurodesenv/bert-soccer-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="leomaurodesenv/bert-soccer-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("leomaurodesenv/bert-soccer-qa") model = AutoModelForQuestionAnswering.from_pretrained("leomaurodesenv/bert-soccer-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e32cb52d418ccefe8bc43b80322932e153c757428fbe3908117e2c3c851e283
- Size of remote file:
- 871 MB
- SHA256:
- 794a28f346fb8d4167151f7684b737964ac1ec3c38428a462137bbee9f32d6a9
路
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