Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use DL-Project/hatespeech_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DL-Project/hatespeech_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DL-Project/hatespeech_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DL-Project/hatespeech_distilbert") model = AutoModelForSequenceClassification.from_pretrained("DL-Project/hatespeech_distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cba6ec8f339a07321ba05dc13c7b0f5b45720195c9383cd22661385e663cfa7f
- Size of remote file:
- 5.05 kB
- SHA256:
- 7f2130d352ad729fc754b982ea2a2dd0410bbfebf70af0ce204549cc06f349e4
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