Instructions to use Luyu/bert-base-mdoc-hdct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Luyu/bert-base-mdoc-hdct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Luyu/bert-base-mdoc-hdct")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Luyu/bert-base-mdoc-hdct") model = AutoModelForSequenceClassification.from_pretrained("Luyu/bert-base-mdoc-hdct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Luyu/bert-base-mdoc-hdct: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Luyu/bert-base-mdoc-hdct/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Luyu/bert-base-mdoc-hdct/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Luyu/bert-base-mdoc-hdct/resolve/main/flax_model.msgpack
438 MB
- Xet hash:
- ef9f264409b26e9dc18eb47595ba2b489ae41bf1ffb299080012fbfc9005ff5c
- Size of remote file:
- 438 MB
- SHA256:
- 9bb1d1786f24ed9da56c310a19052e0d97386d3fde836676e20542f0ee849b1a
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