Instructions to use RohanVB/umlsbert_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RohanVB/umlsbert_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RohanVB/umlsbert_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RohanVB/umlsbert_ner") model = AutoModelForTokenClassification.from_pretrained("RohanVB/umlsbert_ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 781a98334a619059b62776c42d33226df9fb145c50153a84158260d4a00f9026
- Size of remote file:
- 1.39 kB
- SHA256:
- 6da98b2e17dea46e002bef98412e67a8246daa42453e4b935521f42b7e4d8f14
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