Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use gagan3012/bert-tiny-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gagan3012/bert-tiny-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gagan3012/bert-tiny-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gagan3012/bert-tiny-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("gagan3012/bert-tiny-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#4 opened over 2 years ago
by
librarian-bot
Add MIT license
#3 opened about 3 years ago
by
markvai
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
Align label mapping with conll2003 dataset
#1 opened almost 4 years ago
by
lewtun