Text Classification
Transformers
PyTorch
ONNX
Safetensors
Portuguese
English
distilbert
news
ptbr
classification
text-embeddings-inference
Instructions to use jmbrito/ptbr-news-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmbrito/ptbr-news-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jmbrito/ptbr-news-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jmbrito/ptbr-news-classifier") model = AutoModelForSequenceClassification.from_pretrained("jmbrito/ptbr-news-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d81203bd9390a8afa2596525f7b4a6fbb368c94ee70e7c3f4a33b731f2c14d92
- Size of remote file:
- 268 MB
- SHA256:
- dd12a979d10df0d925135cd8536b9415867bf4273a626a0f7f9b2f08caaf7a70
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