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:
- cb0b83d29af09ad49180c1896dce6d25f049c01fa86d729a572c253620121bc2
- Size of remote file:
- 5.3 kB
- SHA256:
- 6670cd309bc79c4638de77be66649432fb3a049d09959fd300cbc983c7c7160d
路
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