Instructions to use psroy/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use psroy/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "psroy/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e4a5a2d05ff9963c61492b3a6a2ef9c50e7c6e8ca4ee01f89c5816bd3f3e86a
- Size of remote file:
- 4.86 kB
- SHA256:
- ad5a1553c65d3a4a3f2afa159f26aaab10d3b55242d04d5249037085519f34f6
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