Text Classification
Transformers
PyTorch
Brazilian Sign Language
bert
news
health
classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use raphaelfontes/HealthNewsBRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelfontes/HealthNewsBRT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raphaelfontes/HealthNewsBRT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("raphaelfontes/HealthNewsBRT") model = AutoModelForSequenceClassification.from_pretrained("raphaelfontes/HealthNewsBRT") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!