Instructions to use MohammadKarami/ernietask1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MohammadKarami/ernietask1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MohammadKarami/ernietask1")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("MohammadKarami/ernietask1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 748f39a145499fb26ecc0abddeb5615eaf916e7314f901b8b641dcb5fad0868a
- Size of remote file:
- 5.18 kB
- SHA256:
- d9a6321fc8d2b6ba813ba1a0e84b9b4d745cfa9607ee6cc7f08959ba7580cc6c
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