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/scaler.pt from leomaurodesenv/bert-basketball-qa: direct link, hf CLI and curl.
- Browser
- Download file 988 Bytes
-
https://huggingface.co/leomaurodesenv/bert-basketball-qa/resolve/main/checkpoint-500/scaler.pt
- Command line
-
hf download hf://leomaurodesenv/bert-basketball-qa/checkpoint-500/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/leomaurodesenv/bert-basketball-qa/resolve/main/checkpoint-500/scaler.pt
988 Bytes
- Xet hash:
- 5e410b3398ef253f98e5662dc4ca4598a11c80390c7a233187ffd46051adc284
- Size of remote file:
- 988 Bytes
- SHA256:
- 06abcf7fdcfcee520152e1beeaa3b289d5cc5f2ab9ba5d881d7dbd73ed192a92
路
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