Instructions to use marquesafonso/bertimbau-large-ner-total with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marquesafonso/bertimbau-large-ner-total with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="marquesafonso/bertimbau-large-ner-total")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("marquesafonso/bertimbau-large-ner-total") model = AutoModelForTokenClassification.from_pretrained("marquesafonso/bertimbau-large-ner-total") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
b7f1751 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c8702e36f7377b71dcdc5571f1f52f0c64f228a014eca08a482b386c3c89130c
size 435782872
|