Text Classification
Transformers
Safetensors
Arabic
bert
arabic
dialect-identification
arabic-nlp
arabic-dialect
nlp
sequence-classification
lahgtna
Eval Results (legacy)
text-embeddings-inference
Instructions to use oddadmix/dialect-router-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oddadmix/dialect-router-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="oddadmix/dialect-router-v0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("oddadmix/dialect-router-v0.1") model = AutoModelForSequenceClassification.from_pretrained("oddadmix/dialect-router-v0.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da762ed46bd5bf19560f87ab38c5463071e335ee640069fac90517344ccda371
- Size of remote file:
- 5.3 kB
- SHA256:
- 570962967d76da90687dd78bd84fb7d814f5081b01038e7af087d401360d1ced
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