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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:574dc1edeaa61bf8aa3a0a97c8af82d0486548bd0f838af15e9f429ce2cb5d67
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size 28276337232
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