Instructions to use goldsounds/jetpack-model-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use goldsounds/jetpack-model-pt with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-7b") model = PeftModel.from_pretrained(base_model, "goldsounds/jetpack-model-pt") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-17000/scheduler.pt from goldsounds/jetpack-model-pt: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/goldsounds/jetpack-model-pt/resolve/main/checkpoint-17000/scheduler.pt
- Command line
-
hf download hf://goldsounds/jetpack-model-pt/checkpoint-17000/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/goldsounds/jetpack-model-pt/resolve/main/checkpoint-17000/scheduler.pt
1.06 kB
- Xet hash:
- fe3d71f2871933edfff8053e84dc408aecde74785aaca108e0104cdba5f7d3a7
- Size of remote file:
- 1.06 kB
- SHA256:
- f1f4437baa90a65cdff061f7898de31e5a56a326957018c3e0613bd83dd2a802
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