Instructions to use aomar85/StanceNakba-EXP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aomar85/StanceNakba-EXP8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aomar85/StanceNakba-EXP8")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aomar85/StanceNakba-EXP8") model = AutoModelForSequenceClassification.from_pretrained("aomar85/StanceNakba-EXP8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e096439b4465486a91b0b0db20229b2ab4300da27828a169c43ca930125dcc86
- Size of remote file:
- 5.2 kB
- SHA256:
- c574df5d2c42682a730a03d627a863c614fa03db2906392707849278d93a4e9f
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