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:
- 2d200bbd501fcb6a11ca8262a42a4663d71cb6707be6ff5c137bc50cd68e98b8
- Size of remote file:
- 4.03 kB
- SHA256:
- 75d12df4a2c4532c1687f169b0784fb4b6750a3c7129c6d0ef0da1d42988fb54
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