Instructions to use arabizi/marbert-dialect-id2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arabizi/marbert-dialect-id2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arabizi/marbert-dialect-id2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arabizi/marbert-dialect-id2") model = AutoModelForSequenceClassification.from_pretrained("arabizi/marbert-dialect-id2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2758f96762dd6e7fce68be2f4b88bbe845a7d2fec1d33d4fe0ba3f9052ab46e5
- Size of remote file:
- 5.24 kB
- SHA256:
- ddce46d55e63cb2d5b50046101129888f234bbcd825b0bc8560bc183c8b2033e
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