Instructions to use sadanyh/Dialect-MSA-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sadanyh/Dialect-MSA-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sadanyh/Dialect-MSA-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sadanyh/Dialect-MSA-detection") model = AutoModelForSequenceClassification.from_pretrained("sadanyh/Dialect-MSA-detection") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer_config.json with huggingface_hub
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{"do_lower_case": true, "model_max_length": 512}
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