Instructions to use irlab-udc/MetaHateBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use irlab-udc/MetaHateBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="irlab-udc/MetaHateBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("irlab-udc/MetaHateBERT") model = AutoModelForSequenceClassification.from_pretrained("irlab-udc/MetaHateBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload folder using huggingface_hub
Verified signature60fa7df
-
Update README.md
Verified signature78a7d05
-
Update README.md
Verified signatureda2b79d -
Update README.md
Verified signaturef981e10 -
Update config.json
Verified signaturea7ba799 -
Update config.json
Verified signature87a61f0 -
Update config.json
Verified signature2933a18 -
Update config.json
Verified signature5019b94 -
Update README.md
Verified signaturec415135 -
Create README.md
Verified signaturef823a67 -
Delete .DS_Store
Verified signature9d650a6 -
commit files to HF hub
dfa2175 -
initial commit
Verified signaturec6e1fb7