Instructions to use georgeyw/gemma-rm-skywork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use georgeyw/gemma-rm-skywork with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="georgeyw/gemma-rm-skywork")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("georgeyw/gemma-rm-skywork") model = AutoModelForSequenceClassification.from_pretrained("georgeyw/gemma-rm-skywork") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52b04b0c77e563ea5c71b3a96993dd33cc82e6a43f1309142c78f948c7283c46
- Size of remote file:
- 34.4 MB
- SHA256:
- 394ace002a144ac6ad5486387502f2d36f70c087310c3d907857240c76fcb36e
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