Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HrantDinkFoundation/arabic-hs-group-prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HrantDinkFoundation/arabic-hs-group-prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HrantDinkFoundation/arabic-hs-group-prediction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HrantDinkFoundation/arabic-hs-group-prediction") model = AutoModelForSequenceClassification.from_pretrained("HrantDinkFoundation/arabic-hs-group-prediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d1679c7b020ca1e87fd1b926967aa87dc9765326a0372bdba7eb02ce5d2b494
- Size of remote file:
- 547 MB
- SHA256:
- 04295195a01ee5bc5236714c693c8505cfb2ae4730a285ad4644938180184886
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