Instructions to use lvcalucioli/zephyr_outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lvcalucioli/zephyr_outputs 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, "lvcalucioli/zephyr_outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b54cf3e98fed2cf967f8bb26f1acc02a2fedeac5d97a8d1a259a1c3a24aa6b5
- Size of remote file:
- 4.28 kB
- SHA256:
- 83be2c59d3d8e7f17ad18838137c4a4706df9022e63872029611091579e15c40
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