Instructions to use VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30 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, "VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30: direct link, hf CLI and curl.
- Browser
- Download file 26.5 kB
-
https://huggingface.co/VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/VERSIL91/7a7fdacb-4032-4374-8e61-2b930a6bbd30/resolve/main/last-checkpoint/optimizer.pt
26.5 kB
- Xet hash:
- 18200f2e908509aed15806874169cec1456d5c46326bdf8905b68f0f74045b00
- Size of remote file:
- 26.5 kB
- SHA256:
- ae9eb09c0a92d3cec58c8aa83c51dcbb8bc5b40ee212a0c4733565b58390f2cb
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