Instructions to use vdos/49adb33f-c94b-4760-b90b-7502e63f9910 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/49adb33f-c94b-4760-b90b-7502e63f9910 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "vdos/49adb33f-c94b-4760-b90b-7502e63f9910") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from vdos/49adb33f-c94b-4760-b90b-7502e63f9910: direct link, hf CLI and curl.
- Browser
- Download file 83.4 kB
-
https://huggingface.co/vdos/49adb33f-c94b-4760-b90b-7502e63f9910/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://vdos/49adb33f-c94b-4760-b90b-7502e63f9910/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/vdos/49adb33f-c94b-4760-b90b-7502e63f9910/resolve/main/last-checkpoint/optimizer.pt
83.4 kB
- Xet hash:
- 80efbf33d6198b6786baaada318e7ff790650c590346b276073fc24fd7d14fa1
- Size of remote file:
- 83.4 kB
- SHA256:
- feafc958b07dacce078c9826ab8f00b78eb58f48b057a3a515086f080c74daf1
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