Text Classification
Transformers
Safetensors
PyTorch
English
bert
biomedical
text-embeddings-inference
Instructions to use STRIDE-lab/pubmedbert-setting-20250221 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use STRIDE-lab/pubmedbert-setting-20250221 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="STRIDE-lab/pubmedbert-setting-20250221")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("STRIDE-lab/pubmedbert-setting-20250221") model = AutoModelForSequenceClassification.from_pretrained("STRIDE-lab/pubmedbert-setting-20250221", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from STRIDE-lab/pubmedbert-setting-20250221: direct link, hf CLI and curl.
- Browser
- Download file 679 kB
-
https://huggingface.co/STRIDE-lab/pubmedbert-setting-20250221/resolve/main/tokenizer.json
- Command line
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hf download hf://STRIDE-lab/pubmedbert-setting-20250221/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/STRIDE-lab/pubmedbert-setting-20250221/resolve/main/tokenizer.json
679 kB
File too large to display, you can check the raw version instead.