Instructions to use eeeebbb2/5e4faf5d-208d-4dd8-ac2f-dce1d9618c0c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/5e4faf5d-208d-4dd8-ac2f-dce1d9618c0c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "eeeebbb2/5e4faf5d-208d-4dd8-ac2f-dce1d9618c0c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d58c60a6e59d6876eddffe77d562dbe4e890224e3d253e3357b0fb4e5d639e5d
- Size of remote file:
- 6.84 kB
- SHA256:
- 415da7b8000774d27c6fd9ad5851a81c70fc5c045f9955b59351538dd1f35098
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.