Instructions to use dada22231/605e3ddd-9f86-4185-b5ec-c3499a067672 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/605e3ddd-9f86-4185-b5ec-c3499a067672 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jhflow/mistral7b-lora-multi-turn-v2") model = PeftModel.from_pretrained(base_model, "dada22231/605e3ddd-9f86-4185-b5ec-c3499a067672") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4a56659f8ef492b48eeab29799c3a7f0cd6bdcfb6e9d318f087af3ba1b3e938
- Size of remote file:
- 6.84 kB
- SHA256:
- 7228d186b71701f59b4f3a3d14388b2759a748b94441642eab9ee5d666fc08fd
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