Feature Extraction
Transformers
PyTorch
English
bert
biomedical
bionlp
entity linking
embedding
text-embeddings-inference
Instructions to use andorei/gebert_eng_gat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andorei/gebert_eng_gat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="andorei/gebert_eng_gat")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("andorei/gebert_eng_gat") model = AutoModel.from_pretrained("andorei/gebert_eng_gat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from andorei/gebert_eng_gat: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/andorei/gebert_eng_gat/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://andorei/gebert_eng_gat/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/andorei/gebert_eng_gat/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- ae49506b05cb0e4fcad44f652195e5652e8bb035828c92bb41d64a673f7dd3ae
- Size of remote file:
- 438 MB
- SHA256:
- a0d51c4f2725b60051dd6ec0da603542d49488d178ddb8284af559f850235fbf
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