Instructions to use pfr/utilitarian-deberta-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pfr/utilitarian-deberta-01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pfr/utilitarian-deberta-01")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pfr/utilitarian-deberta-01") model = AutoModelForSequenceClassification.from_pretrained("pfr/utilitarian-deberta-01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fdc8943e499a53dd0bbed538b988c2a4df30f79e45bada24bd045546884353e
- Size of remote file:
- 1.74 GB
- SHA256:
- 2c07d0933bc644bc53f18405687fca13d148422334284ea83b6c904d0994295a
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