Text Classification
Transformers
Safetensors
Arabic
bert
arabic
egyptian-arabic
hate-speech
text-embeddings-inference
Instructions to use Woolv7007/egyptian-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Woolv7007/egyptian-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Woolv7007/egyptian-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Woolv7007/egyptian-text-classification") model = AutoModelForSequenceClassification.from_pretrained("Woolv7007/egyptian-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 532f31543934997c722846489f5951fd5e458dffe6a0865b2d5bdd7af4c868ce
- Size of remote file:
- 5.24 kB
- SHA256:
- a2f5c0dc838a42d0ffbff90839c0b0c3648d31d73bf8b7d927e03c60fbf40323
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