Instructions to use laquythang/ed550141-9fa8-4ff0-aa8e-39130cda4201 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/ed550141-9fa8-4ff0-aa8e-39130cda4201 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.3") model = PeftModel.from_pretrained(base_model, "laquythang/ed550141-9fa8-4ff0-aa8e-39130cda4201") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af7727cfa1e31e133749f7ac8f11c1bedda8a5e4ede284dc6a5a2d78dc41e871
- Size of remote file:
- 6.78 kB
- SHA256:
- 56831237ae988f4dfdfd22857373f703a49b949d671c2a63aea83a02bc56b7b6
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