Instructions to use fedovtt/8672d7b5-1c60-4b39-a80a-646aa5853c2f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fedovtt/8672d7b5-1c60-4b39-a80a-646aa5853c2f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "fedovtt/8672d7b5-1c60-4b39-a80a-646aa5853c2f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c41aff060b405782c9e66671e6d8234ab1e17e20e9dfc38dc216d2f77817d89
- Size of remote file:
- 6.78 kB
- SHA256:
- dcea679c1858cfe55f02c3069cf60770f0982032c4d7757a47090348f5b8ce9e
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