Instructions to use mudes/en-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mudes/en-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mudes/en-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mudes/en-base") model = AutoModelForTokenClassification.from_pretrained("mudes/en-base") - Notebooks
- Google Colab
- Kaggle
Commit History
allow flax a8c6911
Update README.md ffd8082
Tharindu Ranasinghe commited on
Update README.md ec7555a
Tharindu Ranasinghe commited on
Update README.md e298a73
Tharindu Ranasinghe commited on
Update README.md 88e430d
Tharindu Ranasinghe commited on
002: Create Readme b032244
Tharindu Ranasinghe commited on
from Google Colab 7d3fd11
tharindu commited on