Instructions to use Luyu/bert-base-mdoc-bm25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Luyu/bert-base-mdoc-bm25 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Luyu/bert-base-mdoc-bm25")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Luyu/bert-base-mdoc-bm25") model = AutoModelForSequenceClassification.from_pretrained("Luyu/bert-base-mdoc-bm25", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Luyu/bert-base-mdoc-bm25: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Luyu/bert-base-mdoc-bm25/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Luyu/bert-base-mdoc-bm25/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Luyu/bert-base-mdoc-bm25/resolve/main/flax_model.msgpack
438 MB
- Xet hash:
- 4ab0f4f6d1bb19461f2bb8f13c8312b9b202bacf2e7bc32477e7f0a6cab00525
- Size of remote file:
- 438 MB
- SHA256:
- 4c21e3eaa1187f5ba053d953c8ad256ae15191bdcda2597b01d003490e4d67f2
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