Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Pontonkid/Biomed_bert-base-uncased-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pontonkid/Biomed_bert-base-uncased-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Pontonkid/Biomed_bert-base-uncased-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Pontonkid/Biomed_bert-base-uncased-NER") model = AutoModelForTokenClassification.from_pretrained("Pontonkid/Biomed_bert-base-uncased-NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7d689e003ea06c0351eb8dc622911c25579a0a4069ba5995ea885e45e17e4c1
- Size of remote file:
- 35 MB
- SHA256:
- e5981d85e93edd4f4c002d716f412c863acbe96eebe06b95193b5a3d9f11abc6
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