Instructions to use daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc/resolve/main/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/daniel40/db57755b-c80b-4f73-82bc-02acf0262cbc/resolve/main/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- fb24b9c9e2125e5161f0778f5d566fcbf43ad98f1087d555d91a322e5eab56bf
- Size of remote file:
- 1.06 kB
- SHA256:
- 439e51f57871ee9c2bc8b35458a0c03f9b948af7a0d15ffe5e1cf9789955c6c8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.