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
- Xet hash:
- 95a633dec0cb9b8b2ecdafd84d28e221e3bc3e06278b45f952aaa85402189ebd
- Size of remote file:
- 412 MB
- SHA256:
- 96809d5429f0c3ca4d5074ca2392b78f9bcae2ec2d8a3b921635cc5d269daab6
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