Token Classification
Transformers
TensorBoard
ONNX
Safetensors
English
bert
medical-ner
Generated from Trainer
Instructions to use Setosm/bert-finetuned-for-medical-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Setosm/bert-finetuned-for-medical-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Setosm/bert-finetuned-for-medical-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Setosm/bert-finetuned-for-medical-ner") model = AutoModelForTokenClassification.from_pretrained("Setosm/bert-finetuned-for-medical-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Setosm/bert-finetuned-for-medical-ner: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Setosm/bert-finetuned-for-medical-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://Setosm/bert-finetuned-for-medical-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Setosm/bert-finetuned-for-medical-ner/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 9782736ce4253e1f7c85fecdf4a573158d3e818d293b9ac79d343288d050ec79
- Size of remote file:
- 5.3 kB
- SHA256:
- b475a5807707ced8399edb863623dbc53739e0c9b192c25fd5c21300a8e55a57
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