Instructions to use Multiperspective/roberta_multiregression_human with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Multiperspective/roberta_multiregression_human with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Multiperspective/roberta_multiregression_human")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Multiperspective/roberta_multiregression_human") model = AutoModelForSequenceClassification.from_pretrained("Multiperspective/roberta_multiregression_human") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da067ef58853a11ca32e4cffb1fa5713197654bddc42a5813cacc9977a5e81b8
- Size of remote file:
- 1.42 GB
- SHA256:
- ef3410818c2fae22e07035853c2a2fc56dc2b80690a06f959a9986bb0557447c
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