Instructions to use mismayil/comfact-deberta-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mismayil/comfact-deberta-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mismayil/comfact-deberta-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mismayil/comfact-deberta-v2") model = AutoModelForSequenceClassification.from_pretrained("mismayil/comfact-deberta-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ddf5308ebfe797c30882e1e515507c9a20f59ef203f1e24aef481cdc870629e
- Size of remote file:
- 1.65 kB
- SHA256:
- 2afc991deccb21dec96e7b88d7c467380a84260817e2ae4082df13ce0deefe46
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