Instructions to use joboffer/61e7f019-5263-4259-8238-b0f94c562f4a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use joboffer/61e7f019-5263-4259-8238-b0f94c562f4a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "joboffer/61e7f019-5263-4259-8238-b0f94c562f4a") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from joboffer/61e7f019-5263-4259-8238-b0f94c562f4a: direct link, hf CLI and curl.
- Browser
- Download file 68.9 kB
-
https://huggingface.co/joboffer/61e7f019-5263-4259-8238-b0f94c562f4a/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://joboffer/61e7f019-5263-4259-8238-b0f94c562f4a/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/joboffer/61e7f019-5263-4259-8238-b0f94c562f4a/resolve/main/last-checkpoint/optimizer.pt
68.9 kB
- Xet hash:
- c20bf61bf2e10ebcc5ede857431d6cdf2a1fccdffaedb8641dc86d1709823062
- Size of remote file:
- 68.9 kB
- SHA256:
- ca4b4f2c98c9f87e86b21525657458a81dfe0a5b6df4fb136ca732561c1a31f5
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