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:
- 076c4beb8d68ad9f63d4fee3822cf553d687d1b78b8243b9e1e751eda672767a
- Size of remote file:
- 499 MB
- SHA256:
- 6d39d8133f96bb5d30f8509449b71c4b0a78d11d555a0280ddb7ac10c8354399
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