Instructions to use arabizi/marbert-dialect-id3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arabizi/marbert-dialect-id3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arabizi/marbert-dialect-id3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arabizi/marbert-dialect-id3") model = AutoModelForSequenceClassification.from_pretrained("arabizi/marbert-dialect-id3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c35d7268aef05fd511cd3eb885e47febbba8d2a02239f759a6301ec923d7c079
- Size of remote file:
- 5.24 kB
- SHA256:
- c755661d78f6618358017caa9b292027ddc1b8c00120b812cd96e1271b44f2d7
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