Instructions to use oddadmix/dialect-router-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oddadmix/dialect-router-v0.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="oddadmix/dialect-router-v0.2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("oddadmix/dialect-router-v0.2") model = AutoModelForSequenceClassification.from_pretrained("oddadmix/dialect-router-v0.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed09cc31baaf8bdf3bd73af08591c060fadf8ddd412175b1acea0341c6592149
- Size of remote file:
- 5.37 kB
- SHA256:
- f28c6eee991b760348e35db9d77fecb1407f2090e6b4816643d6f53f497109d7
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