Instructions to use jonas/sdg_classifier_osdg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonas/sdg_classifier_osdg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jonas/sdg_classifier_osdg")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jonas/sdg_classifier_osdg") model = AutoModelForSequenceClassification.from_pretrained("jonas/sdg_classifier_osdg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b2eb74821a1aba6d7240a4d54e559b925d543a36a54928d430ab305fc3a23d9
- Size of remote file:
- 438 MB
- SHA256:
- 851167ff459b43b72f8be95ae6d1db59b9ce911dee302a92afcd6853ad875681
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