Instructions to use joey234/BioLinkBERT-base-EBMNLP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joey234/BioLinkBERT-base-EBMNLP with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("joey234/BioLinkBERT-base-EBMNLP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from joey234/BioLinkBERT-base-EBMNLP: direct link, hf CLI and curl.
- Browser
- Download file 679 kB
-
https://huggingface.co/joey234/BioLinkBERT-base-EBMNLP/resolve/main/tokenizer.json
- Command line
-
hf download hf://joey234/BioLinkBERT-base-EBMNLP/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/joey234/BioLinkBERT-base-EBMNLP/resolve/main/tokenizer.json
679 kB
- Xet hash:
- a1116600f2fa611cfcb713e233fe39ca86dc4d01ebd7bb5278758feebeb04d95
- Size of remote file:
- 679 kB
- SHA256:
- 8d0d18d79af91cc3b41e365cde4de7067ca32ac84a48a58306241157e814fcfb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.