Instructions to use lisaterumi/postagger-portuguese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lisaterumi/postagger-portuguese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lisaterumi/postagger-portuguese")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lisaterumi/postagger-portuguese") model = AutoModelForTokenClassification.from_pretrained("lisaterumi/postagger-portuguese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a420aef9dc62161cd5df6e114b76623062aa43a4b8265be0a5f133d5499312f9
- Size of remote file:
- 433 MB
- SHA256:
- 136fe2d35d147f464be9f1a08c2e225aab419019a65d5267fd246d6dde79d9b2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.