Text Classification
Transformers
Safetensors
Arabic
bert
Generated from Trainer
text-embeddings-inference
Instructions to use aomar85/StanceNakba-EXP5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aomar85/StanceNakba-EXP5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aomar85/StanceNakba-EXP5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aomar85/StanceNakba-EXP5") model = AutoModelForSequenceClassification.from_pretrained("aomar85/StanceNakba-EXP5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3954a76e67ed010a04ea215ec1dc2b3468837dced1ba65ed9344526ee9c5f5ba
- Size of remote file:
- 5.2 kB
- SHA256:
- f744d4be2f564203bb818c0c6bf263b31b6faccc493f19aeef452e834763ee75
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