Text Classification
Transformers
Safetensors
Portuguese
bert
text-quality
portuguese
text-embeddings-inference
Instructions to use TucanoBR/BERTimbau-base-text-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TucanoBR/BERTimbau-base-text-filter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TucanoBR/BERTimbau-base-text-filter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TucanoBR/BERTimbau-base-text-filter") model = AutoModelForSequenceClassification.from_pretrained("TucanoBR/BERTimbau-base-text-filter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd0e75894bc21b3cdbd726b675e190d5a261457eb8e52b66dd4ff2bc5219babc
- Size of remote file:
- 436 MB
- SHA256:
- ff8ec6832c0345dfd6d1298a87dfc6ccacfae7f11cd1a33bae2c361ba598d16d
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