Instructions to use tuanna08go/c071b791-e784-4b59-a529-eacec5379fa2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/c071b791-e784-4b59-a529-eacec5379fa2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "tuanna08go/c071b791-e784-4b59-a529-eacec5379fa2") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from tuanna08go/c071b791-e784-4b59-a529-eacec5379fa2: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/tuanna08go/c071b791-e784-4b59-a529-eacec5379fa2/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://tuanna08go/c071b791-e784-4b59-a529-eacec5379fa2/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/tuanna08go/c071b791-e784-4b59-a529-eacec5379fa2/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 591f751da51c3658a8141691df650f05c8caa77b27466d39b1bce26269f20deb
- Size of remote file:
- 14.2 kB
- SHA256:
- ac18a99e0aeed2cfa1a52dad241a4d9583a3fd1a40119e4a4fc39f21e1df86f5
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