Instructions to use connectivity/cola_6ep_ft-25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-25 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-25")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-25") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-25") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d38946345f5c9990a80ea2200dc7d819c409f8c9503567ebaa41c9b15069eaf2
- Size of remote file:
- 438 MB
- SHA256:
- e4e8626e05b0c0fd7dd29efb4ff36fa034fa2ad3c0a6a7b35c58bd0e5be6cbe8
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