Instructions to use Denn231/external_clf_v_0.752 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denn231/external_clf_v_0.752 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denn231/external_clf_v_0.752")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denn231/external_clf_v_0.752") model = AutoModelForSequenceClassification.from_pretrained("Denn231/external_clf_v_0.752") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4910c94460be4d14f3d5e1d57b07208066f7bb9799db47de180c10c74f7e8a7a
- Size of remote file:
- 5.37 kB
- SHA256:
- 88da492134e20cc23effa97c93c052dd49fe0144b78af86fc350a428067b792b
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