Text Classification
Transformers
Safetensors
Arabic
bert
arabic
toxicity
hate-speech
cyberbullying
content-moderation
offensive-language
profanity
multi-dialect
arabic-nlp
MARBERTv2
Eval Results (legacy)
text-embeddings-inference
Instructions to use youssefreda9/HAYAA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use youssefreda9/HAYAA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="youssefreda9/HAYAA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("youssefreda9/HAYAA") model = AutoModelForSequenceClassification.from_pretrained("youssefreda9/HAYAA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3d0d4a0be95dc826a9126cd8160181dbb2b08150bbb7ca3ef06ed91371748eb
- Size of remote file:
- 4.79 kB
- SHA256:
- 60cb52daedc90be00ee3d5648f1c6e4d908072fba58de58ccfd1893a86a67994
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