Text Classification
Transformers
Safetensors
Portuguese
bert
text-quality
portuguese
text-embeddings-inference
Instructions to use TucanoBR/BERTimbau-large-text-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TucanoBR/BERTimbau-large-text-filter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TucanoBR/BERTimbau-large-text-filter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TucanoBR/BERTimbau-large-text-filter") model = AutoModelForSequenceClassification.from_pretrained("TucanoBR/BERTimbau-large-text-filter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad9bba49c9cf4b5f2b7c8a2f07aca392a76f4caab612e3476df1ddd73e46df4c
- Size of remote file:
- 1.34 GB
- SHA256:
- 89a4cb6492152f879b2f1dc5af392bbc443d95a29ac912d03d3cc5954f1c855e
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