Instructions to use tyasmul/4be2b827-41b0-4608-a605-3bc499df4c51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tyasmul/4be2b827-41b0-4608-a605-3bc499df4c51 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "tyasmul/4be2b827-41b0-4608-a605-3bc499df4c51") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d2e1daa71f50db44e4c80e8d36ff22401b67bc919c27b7bf3f2e320b09e5a44
- Size of remote file:
- 6.78 kB
- SHA256:
- b4ab7ce5d509ec9cb3eec3a0722f06242e06773a067a42b274910e581bda6cc8
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