Instructions to use Gohar/DistilArabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gohar/DistilArabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gohar/DistilArabic")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gohar/DistilArabic") model = AutoModelForSequenceClassification.from_pretrained("Gohar/DistilArabic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dc9e2c10c62dc661d05c5c29914dd22c2354a76ea7369fcc7cfa70f90b0d518
- Size of remote file:
- 263 MB
- SHA256:
- 161c81a6035f689edeaf40504c5844224f47f9a68841f50bd161a299029c8e66
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.