Text Classification
Transformers
PyTorch
Safetensors
Arabic
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use U4RASD/ArATTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use U4RASD/ArATTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="U4RASD/ArATTC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("U4RASD/ArATTC") model = AutoModelForSequenceClassification.from_pretrained("U4RASD/ArATTC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c64b621c8211cdc0cdc33c45ea3a87326e67f8534ea9ab5b101edaf61f1713a
- Size of remote file:
- 1.78 MB
- SHA256:
- f47cdf566781758ed5b1f8ae3113d12ab6ac939e912d48adb2a4e98b2cb629c8
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