Feature Extraction
Transformers
PyTorch
Safetensors
English
bert
exbert
linkbert
biolinkbert
fill-mask
question-answering
text-classification
token-classification
text-embeddings-inference
Instructions to use dimfeld/BioLinkBERT-large-feat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dimfeld/BioLinkBERT-large-feat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dimfeld/BioLinkBERT-large-feat")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dimfeld/BioLinkBERT-large-feat") model = AutoModel.from_pretrained("dimfeld/BioLinkBERT-large-feat") - Notebooks
- Google Colab
- Kaggle
Switch to feature extraction task
Browse files
README.md
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duplicated_from: michiyasunaga/BioLinkBERT-large
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---
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## BioLinkBERT-large
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year = {2022},
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booktitle = {Association for Computational Linguistics (ACL)},
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}
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```
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widget:
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duplicated_from: michiyasunaga/BioLinkBERT-large
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pipeline_tag: feature-extraction
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---
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## BioLinkBERT-large
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year = {2022},
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booktitle = {Association for Computational Linguistics (ACL)},
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}
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```
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