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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("U4RASD/ArGTC") model = AutoModelForSequenceClassification.from_pretrained("U4RASD/ArGTC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dad8d9d8120cc2e1dbe74282721e4a6e329740c27e9d6cf198ebced523c9a10
- Size of remote file:
- 28.3 GB
- SHA256:
- 0e1a375dc402a4dce9a7e650955a86b3396a12be5ee8528638fa11371b3398a0
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