Instructions to use Israhassan/CoLAEncoderonly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Israhassan/CoLAEncoderonly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Israhassan/CoLAEncoderonly")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Israhassan/CoLAEncoderonly") model = AutoModelForSequenceClassification.from_pretrained("Israhassan/CoLAEncoderonly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69ba9f204a3cac294ae2910a6034529633b7da2a4fb42ccf17904b08fde34eb8
- Size of remote file:
- 438 MB
- SHA256:
- 46fad72cef1c5084aee4eff6af4b317ab6423f46c0861feec64fa43bc379b17a
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