Instructions to use wisnu001binus/hate_speech_detection_RoBERTabase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wisnu001binus/hate_speech_detection_RoBERTabase with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wisnu001binus/hate_speech_detection_RoBERTabase")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wisnu001binus/hate_speech_detection_RoBERTabase") model = AutoModelForSequenceClassification.from_pretrained("wisnu001binus/hate_speech_detection_RoBERTabase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from wisnu001binus/hate_speech_detection_RoBERTabase: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/wisnu001binus/hate_speech_detection_RoBERTabase/resolve/main/vocab.json
- Command line
-
hf download hf://wisnu001binus/hate_speech_detection_RoBERTabase/vocab.json
-
curl -L -o vocab.json https://huggingface.co/wisnu001binus/hate_speech_detection_RoBERTabase/resolve/main/vocab.json
798 kB
File too large to display, you can check the raw version instead.