Feature Extraction
Transformers
PyTorch
English
bert
biomedical
bionlp
entity linking
embedding
text-embeddings-inference
Instructions to use andorei/gebert_eng_graphsage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andorei/gebert_eng_graphsage with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="andorei/gebert_eng_graphsage")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("andorei/gebert_eng_graphsage") model = AutoModel.from_pretrained("andorei/gebert_eng_graphsage") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:a07b57434329bb35ec0999651b718577b0bc4b82a2bcb407667816a4a222a5be
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size 437955512
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