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/scheduler.pt from bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc/resolve/main/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc/resolve/main/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- d2d0e71a50247ed9b5a4e89a7c103d18c84f3f04d79c6f936e6b1c1b59dfa947
- Size of remote file:
- 1.06 kB
- SHA256:
- f2c4a11c3ec7ace2e963dc6e2b0b5b6372cc0250cefb36d5f7289475908638cb
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