Instructions to use thenlpresearcher/google_gemma-2-9b_StereoDetect_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thenlpresearcher/google_gemma-2-9b_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/google_gemma-2-9b_StereoDetect_Model") - Transformers
How to use thenlpresearcher/google_gemma-2-9b_StereoDetect_Model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thenlpresearcher/google_gemma-2-9b_StereoDetect_Model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fd8165b76b98e0eb68e8d5242843da979a9be6604f49e9dcc760738d49dcfdd
- Size of remote file:
- 5.37 kB
- SHA256:
- a34411d0951b49f229f1c809f19114635abcc7a8a86d5fafb1058aaa489bc5a5
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