Instructions to use pruas/BENT-PubMEdBERT-NER-Variant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pruas/BENT-PubMEdBERT-NER-Variant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pruas/BENT-PubMEdBERT-NER-Variant")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pruas/BENT-PubMEdBERT-NER-Variant") model = AutoModelForTokenClassification.from_pretrained("pruas/BENT-PubMEdBERT-NER-Variant") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e322f19f11ce87febd882bff9ff2588bd97eb78480e4f638e1ba52045d06d3de
- Size of remote file:
- 2.67 kB
- SHA256:
- 2b19ea8c77cbbb6c7f9a8aaa38195560d00f575c22c2ae384209c9da73743ed0
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