Instructions to use felipesfpaula/bertimbau-large-InferBr-NLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use felipesfpaula/bertimbau-large-InferBr-NLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="felipesfpaula/bertimbau-large-InferBr-NLI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("felipesfpaula/bertimbau-large-InferBr-NLI") model = AutoModelForSequenceClassification.from_pretrained("felipesfpaula/bertimbau-large-InferBr-NLI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f88a687dd83092b24628e75db9a58d4a87b5d92a7b388dbe24b1191d376fbc3a
- Size of remote file:
- 1.34 GB
- SHA256:
- 546d8cabdda43efc0089b22193c925c803558c861d6d07c123f739f6d8132a4f
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