Instructions to use GeorgeDaDude/RobertaJudge_w_do with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeorgeDaDude/RobertaJudge_w_do with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GeorgeDaDude/RobertaJudge_w_do")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GeorgeDaDude/RobertaJudge_w_do") model = AutoModelForSequenceClassification.from_pretrained("GeorgeDaDude/RobertaJudge_w_do") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47402d919384dc43436b5cb5ddf42cd72b80ae86962f83bbe509d02e022f181d
- Size of remote file:
- 4.92 kB
- SHA256:
- 8820719f9faaf77d891a5b68c5f0856221fcfbc8332adde173658cf20ccf34c5
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