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:
- b134585da8d7e7c6a693e52132f041f2ca73c8c43c090188c1cae1761afd8e1a
- Size of remote file:
- 5.37 kB
- SHA256:
- 42cd724fc78cd118cfe81a23f383ce01e5096be0c96651b3b89ef41b81564281
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