Instructions to use wesleyacheng/hate-speech-multilabel-classification-with-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wesleyacheng/hate-speech-multilabel-classification-with-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wesleyacheng/hate-speech-multilabel-classification-with-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wesleyacheng/hate-speech-multilabel-classification-with-bert") model = AutoModelForSequenceClassification.from_pretrained("wesleyacheng/hate-speech-multilabel-classification-with-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
fb276e1 -
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (7aadc47806218853aff3555209708e262f66365a) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>0226706 -
Update README.md
54dc3b8 -
Update README.md
e3c80a5
-
Update README.md
ee7757f -
Update README.md
ff93696 -
Upload 6 files
e4baa14 -
initial commit
e18cf48