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
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README.md
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- dru-ac/ArTopicDS
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- dru-ac/ArTopicDS-Books
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metrics:
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- accuracy
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- precision
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- recall
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pipeline_tag: text-classification
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- dru-ac/ArTopicDS
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- dru-ac/ArTopicDS-Books
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metrics:
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- accuracy 81%
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- precision
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- recall
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pipeline_tag: text-classification
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