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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from fonshartendorp/dutch_biomedical_entity_linking: direct link, hf CLI and curl.
- Browser
- Download file 2.32 MB
-
https://huggingface.co/fonshartendorp/dutch_biomedical_entity_linking/resolve/main/tokenizer.json
- Command line
-
hf download hf://fonshartendorp/dutch_biomedical_entity_linking/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/fonshartendorp/dutch_biomedical_entity_linking/resolve/main/tokenizer.json
2.32 MB
File too large to display, you can check the raw version instead.