Instructions to use traberph/RedBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use traberph/RedBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="traberph/RedBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("traberph/RedBERT") model = AutoModelForSequenceClassification.from_pretrained("traberph/RedBERT") - Notebooks
- Google Colab
- Kaggle
Commit History
Merge branch 'main' of hf.co:traberph/RedBERT 0025d17
Philipp Traber commited on
Updated README and added images 1038a32
Philipp Traber commited on
Update README.md d095b8b
Update README.md 336f4ff
enable inference 4382ddc
added class lables as intended a23704d
Philipp Traber commited on