Instructions to use Multiperspective/roberta-llm-noninstruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Multiperspective/roberta-llm-noninstruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Multiperspective/roberta-llm-noninstruct")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Multiperspective/roberta-llm-noninstruct") model = AutoModelForSequenceClassification.from_pretrained("Multiperspective/roberta-llm-noninstruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2eb28c3524e227149caaab3188dea4320a5b5366abb062f003f2e4ddad33054d
- Size of remote file:
- 1.42 GB
- SHA256:
- d024ca64852fda49877635772ea2c0e45adf66fe8f8c46781479937a71b3219b
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