Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use jacquesle/bert-base-cased-NER-favsbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacquesle/bert-base-cased-NER-favsbot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jacquesle/bert-base-cased-NER-favsbot")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jacquesle/bert-base-cased-NER-favsbot") model = AutoModelForTokenClassification.from_pretrained("jacquesle/bert-base-cased-NER-favsbot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot