Feature Extraction
Transformers
PyTorch
TensorFlow
Dutch
roberta
Biomedical entity linking
sapBERT
bioNLP
embeddings
representation learning
text-embeddings-inference
Instructions to use fonshartendorp/dutch_biomedical_entity_linking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fonshartendorp/dutch_biomedical_entity_linking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fonshartendorp/dutch_biomedical_entity_linking")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("fonshartendorp/dutch_biomedical_entity_linking") model = AutoModel.from_pretrained("fonshartendorp/dutch_biomedical_entity_linking") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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