Instructions to use Multiperspective/roberta-soft-llm_multip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Multiperspective/roberta-soft-llm_multip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Multiperspective/roberta-soft-llm_multip")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Multiperspective/roberta-soft-llm_multip") model = AutoModelForSequenceClassification.from_pretrained("Multiperspective/roberta-soft-llm_multip") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a3ab45ebdf2df4930b1b231e6b0d7e3e48d33ba43607a3bef4461a66734e147
- Size of remote file:
- 1.42 GB
- SHA256:
- 2c0e8f6eef7bb2d8b4f8fbcaba50e088c9c80ed613a42466d3632e9d5d874cfd
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