Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use chintagunta85/biobert-base-cased-v1.2-bc2gm-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chintagunta85/biobert-base-cased-v1.2-bc2gm-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chintagunta85/biobert-base-cased-v1.2-bc2gm-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chintagunta85/biobert-base-cased-v1.2-bc2gm-ner") model = AutoModelForTokenClassification.from_pretrained("chintagunta85/biobert-base-cased-v1.2-bc2gm-ner") - Notebooks
- Google Colab
- Kaggle
issues
#2
by the14HuggingFace - opened
From the training results table, it shows that the model was overfitted starting from epoch 5.0. And the final result isn't based on the evaluation test, it seems to report the overfitted training preformance.