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:
- 22cd1a2526ad0f09b30577a7eaed6d4a5f62c98c61fa23a3cac1833bb32188d7
- Size of remote file:
- 4.6 kB
- SHA256:
- ea94b55f433bbe2f8ea757c1ea53f6910e6153d92f90350b3fe20600a342e2bb
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