Instructions to use robiulawaldev/e033be42-c4b4-4b3f-954c-7bfaf3416054 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use robiulawaldev/e033be42-c4b4-4b3f-954c-7bfaf3416054 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, "robiulawaldev/e033be42-c4b4-4b3f-954c-7bfaf3416054") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 575da476ac8c4754ff4a4ae154fe7effb30a05bb6490d09d3fadeafcfd683030
- Size of remote file:
- 336 MB
- SHA256:
- bd6d3f1ecc770f56d30bd3ae8c72dd065eed0b276197440edae0a59df8dcc4be
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.