Instructions to use jonas/roberta-base-finetuned-sdg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonas/roberta-base-finetuned-sdg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jonas/roberta-base-finetuned-sdg")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jonas/roberta-base-finetuned-sdg") model = AutoModelForSequenceClassification.from_pretrained("jonas/roberta-base-finetuned-sdg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52b1d2b787b1f386accfa1408643e78f1344a253635d9a3199b4d34705138eea
- Size of remote file:
- 3.38 kB
- SHA256:
- 8b8962b9a7b05b1fe5ca11a3d9758581d3a88d27c7c1af0076e584594a2dbb45
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