Instructions to use bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-160m") model = PeftModel.from_pretrained(base_model, "bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- e2d75295bce728a27d93f644626a35f18fb6668675e4c06abe5451fdb7ac3a1f
- Size of remote file:
- 14.2 kB
- SHA256:
- 9ac3e88c4fbed7e72298e252b4a356d7b0bd4ef5ac2d275faba331f0e7470585
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