Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use GeorgeDaDude/RobertaJudge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeorgeDaDude/RobertaJudge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GeorgeDaDude/RobertaJudge")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GeorgeDaDude/RobertaJudge") model = AutoModelForSequenceClassification.from_pretrained("GeorgeDaDude/RobertaJudge") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 224e6ecda3828d94396f8f97655833586826422d78c784dce7de23831abab0b7
- Size of remote file:
- 4.98 kB
- SHA256:
- 7deab325e473a2df26595ac8595e7683a608015142d163a93f685ed9b9f6ee8c
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