Instructions to use pfr/utilitarian-roberta-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pfr/utilitarian-roberta-01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pfr/utilitarian-roberta-01")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pfr/utilitarian-roberta-01") model = AutoModelForSequenceClassification.from_pretrained("pfr/utilitarian-roberta-01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6385b91202f38e75c415772dc56414f2c944e1847392ddf081f0c77819ccb776
- Size of remote file:
- 1.42 GB
- SHA256:
- 0bdbce0c612fa588853d167449e658e7c83331bc80e6ca2a4193ff6196422e7c
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