Instructions to use leomaurodesenv/bert-basketball-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leomaurodesenv/bert-basketball-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="leomaurodesenv/bert-basketball-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("leomaurodesenv/bert-basketball-qa") model = AutoModelForQuestionAnswering.from_pretrained("leomaurodesenv/bert-basketball-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-500/training_args.bin from leomaurodesenv/bert-basketball-qa: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/leomaurodesenv/bert-basketball-qa/resolve/main/checkpoint-500/training_args.bin
- Command line
-
hf download hf://leomaurodesenv/bert-basketball-qa/checkpoint-500/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/leomaurodesenv/bert-basketball-qa/resolve/main/checkpoint-500/training_args.bin
5.3 kB
- Xet hash:
- b9cb130854aee586d79823c533d21199d4d2eb019db6d3e841623f94fb39356c
- Size of remote file:
- 5.3 kB
- SHA256:
- e47fd9a569ce220c806b4a52069072c804efe830882485e57831413d7df87da6
路
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