Instructions to use Kaustubh12345/Llama_StereoDetect_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kaustubh12345/Llama_StereoDetect_Model with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "Kaustubh12345/Llama_StereoDetect_Model") - Transformers
How to use Kaustubh12345/Llama_StereoDetect_Model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kaustubh12345/Llama_StereoDetect_Model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b359ab6a6cd39b584b51df6bb6171eefa05ca2c91b47337f274bbe5020d3f674
- Size of remote file:
- 17.2 MB
- SHA256:
- 9c85066e7642934ed09b44155e6566b0b5dab2637fb9433439ba5c9c7f8b50d3
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