Instructions to use DeepNeural/medical-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepNeural/medical-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DeepNeural/medical-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DeepNeural/medical-ner") model = AutoModelForTokenClassification.from_pretrained("DeepNeural/medical-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DeepNeural/medical-ner: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/DeepNeural/medical-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://DeepNeural/medical-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DeepNeural/medical-ner/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 4b5a4a6fd32b04548c7ced2746369a13b4982d989b3da00bda04352199e38f18
- Size of remote file:
- 5.78 kB
- SHA256:
- ec992930f845355f048c9067133d4d61cd356cb543b43f59f4fe0e7a13832712
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