Instructions to use XanderJC/llama-3-8b-orca-rm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use XanderJC/llama-3-8b-orca-rm with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "XanderJC/llama-3-8b-orca-rm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d85d759f5a9540ce8d6001c67a814a93d2b92b19da0d47009436ce337a745b72
- Size of remote file:
- 4.73 kB
- SHA256:
- 1fac1ff584bfae0e0b88a6cb78f00ca9d43096e199c00e4f335a31f4f3facd3c
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