Text Classification
Transformers
Safetensors
xlm-roberta
multilingual
hate-speech-detection
cross-lingual
transliteration
latin-script
multilingual-nlp
text-embeddings-inference
Instructions to use GhadeerALbadani/xlm_latin-Multilingual_detection_of_hate_speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GhadeerALbadani/xlm_latin-Multilingual_detection_of_hate_speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GhadeerALbadani/xlm_latin-Multilingual_detection_of_hate_speech")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GhadeerALbadani/xlm_latin-Multilingual_detection_of_hate_speech") model = AutoModelForSequenceClassification.from_pretrained("GhadeerALbadani/xlm_latin-Multilingual_detection_of_hate_speech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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