Instructions to use bertin-project/bertin-base-pos-conll2002-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-base-pos-conll2002-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bertin-project/bertin-base-pos-conll2002-es")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-pos-conll2002-es") model = AutoModelForTokenClassification.from_pretrained("bertin-project/bertin-base-pos-conll2002-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f294834fc43e6bde8d1e766872f0868e80c5d252dcc40039034f0154163a9a89
- Size of remote file:
- 496 MB
- SHA256:
- 804059e230f69819051c05748336cdcc1bf40e9ea3e52b36a907243fcd80b617
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.