Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use OwLim/roberta-hate-speech-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OwLim/roberta-hate-speech-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OwLim/roberta-hate-speech-detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OwLim/roberta-hate-speech-detection") model = AutoModelForSequenceClassification.from_pretrained("OwLim/roberta-hate-speech-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from OwLim/roberta-hate-speech-detection: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/OwLim/roberta-hate-speech-detection/resolve/main/vocab.json
- Command line
-
hf download hf://OwLim/roberta-hate-speech-detection/vocab.json
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curl -L -o vocab.json https://huggingface.co/OwLim/roberta-hate-speech-detection/resolve/main/vocab.json
798 kB
File too large to display, you can check the raw version instead.