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