Instructions to use thenlpresearcher/Gemma_StereoDetect_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thenlpresearcher/Gemma_StereoDetect_Model with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("google/gemma-2-9b") model = PeftModel.from_pretrained(base_model, "thenlpresearcher/Gemma_StereoDetect_Model") - Transformers
How to use thenlpresearcher/Gemma_StereoDetect_Model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thenlpresearcher/Gemma_StereoDetect_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5adb7b58b5d1fee98a5b293d33133a5e7932b34f4d1ddb5a636792d04495847e
- Size of remote file:
- 34.4 MB
- SHA256:
- abd905f70a0604065e2115e2e99a985ae7f6c42a528cb9e0ac42c1178c6fc151
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