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:
- ba0d7b0b7bde93305a8d27d4678313e058e65f346c9269022f0afc779500133e
- Size of remote file:
- 14.2 kB
- SHA256:
- 6ffd64f9c59f4cc6191772b63cbbf114d3a28b67901f6e4da062e33b80e64799
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