Instructions to use IntellectusAI/zephyr_beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use IntellectusAI/zephyr_beta with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/zephyr-7B-alpha-GPTQ") model = PeftModel.from_pretrained(base_model, "IntellectusAI/zephyr_beta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d49de4b4efc8aa66274cf4700d2dc7fb90534a2f4daeeb51267a9b26d455405b
- Size of remote file:
- 4.98 kB
- SHA256:
- d40fc71e130f6e6bc695b2b957633dcb6f947f506f1479de3dd1bb1d7eb73087
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.