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
Download checkpoint-5000/optimizer.pt from leomaurodesenv/bert-soccer-qa: direct link, hf CLI and curl.
- Browser
- Download file 871 MB
-
https://huggingface.co/leomaurodesenv/bert-soccer-qa/resolve/main/checkpoint-5000/optimizer.pt
- Command line
-
hf download hf://leomaurodesenv/bert-soccer-qa/checkpoint-5000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/leomaurodesenv/bert-soccer-qa/resolve/main/checkpoint-5000/optimizer.pt
871 MB
- Xet hash:
- 57f36d38d20e2f41190fb0ae7f5727922653ed5c7c1eec9e0d4bf56f591a59a3
- Size of remote file:
- 871 MB
- SHA256:
- 01d52652d335399015af83ef89882e5c035adfc5484016cd4d98c7c06e4a6f2a
路
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