Instructions to use universalner/uner_eng_ewt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_eng_ewt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_eng_ewt")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_eng_ewt") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_eng_ewt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f8e5deb924051118ff105ee35e71ee5a918e584f0b3fe0ff90e6e740c4ab10c
- Size of remote file:
- 4.02 kB
- SHA256:
- ed9b43382bf255bc17d6fe5da31a6723971dca67c5dd3e5c3c8af22e7bc54faf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.