Token Classification
Transformers
PyTorch
TensorBoard
albert
Generated from Trainer
Eval Results (legacy)
Instructions to use ArBert/albert-base-v2-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArBert/albert-base-v2-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ArBert/albert-base-v2-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ArBert/albert-base-v2-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("ArBert/albert-base-v2-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#3 opened almost 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot
Align label mapping with conll2003 dataset
#1 opened almost 4 years ago
by
lewtun