Instructions to use dongyangyang/medical_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dongyangyang/medical_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dongyangyang/medical_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dongyangyang/medical_ner") model = AutoModelForMaskedLM.from_pretrained("dongyangyang/medical_ner") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd6966b1554ac68834f2be96ee1287b8810d912466c6d98860bca1ad7fff66fc
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size 411547476
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