Instructions to use shrenikb/Transfer6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shrenikb/Transfer6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("shrenikb/sparsegpt75sparsitymodel") model = PeftModel.from_pretrained(base_model, "shrenikb/Transfer6") - Notebooks
- Google Colab
- Kaggle
Download adapter6.bin from shrenikb/Transfer6: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/shrenikb/Transfer6/resolve/main/adapter6.bin
- Command line
-
hf download hf://shrenikb/Transfer6/adapter6.bin
-
curl -L -o adapter6.bin https://huggingface.co/shrenikb/Transfer6/resolve/main/adapter6.bin
16.8 MB
- Xet hash:
- 99fef940b5bab394c4e015199cd5552975ff593e154fab2409e0a8792cff62ce
- Size of remote file:
- 16.8 MB
- SHA256:
- 0c65a48514b8e2e6f163f4c2fc736e3765364a2275914cf275bfdac6c0a347d3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.