Instructions to use U4RASD/ArGTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use U4RASD/ArGTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="U4RASD/ArGTC")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("U4RASD/ArGTC") model = AutoModelForSequenceClassification.from_pretrained("U4RASD/ArGTC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer_config.json
Browse files- tokenizer_config.json +3 -0
tokenizer_config.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:b483b62a51fa652c7880525ad071630a953ec2ace80c1798f70e69d3f1289650
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size 199
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