Instructions to use cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/4f3782a6-7b9f-4ebe-b488-6b278dfed6e4") model = PeftModel.from_pretrained(base_model, "cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 05e2020228ffe91616e941f852b278e3d81ce31a9301ebf81441b1a75e31bed8
- Size of remote file:
- 14.2 kB
- SHA256:
- 8304c876eb57d571aaaf9a0913a650c7296ed5543e000640481eff1d2f78ec43
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.