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 # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="leomaurodesenv/bert-basketball-qa")# pip install -U transformers accelerate # 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/trainer_state.json from leomaurodesenv/bert-basketball-qa: direct link, hf CLI and curl.
- Browser
- Download file 5.74 kB
-
https://huggingface.co/leomaurodesenv/bert-basketball-qa/resolve/cd1e974e52ef5840fd82ee3fc4686c849cdc6e42/checkpoint-500/trainer_state.json
- Command line
-
hf download hf://leomaurodesenv/bert-basketball-qa@cd1e974e52ef5840fd82ee3fc4686c849cdc6e42/checkpoint-500/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/leomaurodesenv/bert-basketball-qa/resolve/cd1e974e52ef5840fd82ee3fc4686c849cdc6e42/checkpoint-500/trainer_state.json
5.74 kB
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