Instructions to use rufimelo/Legal-BERTimbau-large-TSDAE-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rufimelo/Legal-BERTimbau-large-TSDAE-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rufimelo/Legal-BERTimbau-large-TSDAE-v4")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rufimelo/Legal-BERTimbau-large-TSDAE-v4") model = AutoModel.from_pretrained("rufimelo/Legal-BERTimbau-large-TSDAE-v4") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 12 months ago
by
SFconvertbot