Instructions to use tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3: direct link, hf CLI and curl.
- Browser
- Download file 39.4 kB
-
https://huggingface.co/tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3/resolve/main/last-checkpoint/optimizer.pt
39.4 kB
- Xet hash:
- a30b5b68657dcef03e7a1c6d69e4fb16a4231145a2d59456adf5679136150bc6
- Size of remote file:
- 39.4 kB
- SHA256:
- 3fa32b5d8ae18b2bdd58ea2392c575cfe2b62522d9149b62ca765cd3724b2652
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