Instructions to use vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0: direct link, hf CLI and curl.
- Browser
- Download file 61.9 kB
-
https://huggingface.co/vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0/resolve/main/last-checkpoint/optimizer.pt
61.9 kB
- Xet hash:
- f00ae5ef806b20a8d912fcf8eb175830835973885f5ef5fed5ed75be5028f81f
- Size of remote file:
- 61.9 kB
- SHA256:
- c790b697654f3b2aec3f93db8bd411acf9bafa63e44e1edc678e87d4a8065781
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.