Instructions to use VERSIL91/21989a9f-7539-4956-94ad-ee9bd5631eb8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/21989a9f-7539-4956-94ad-ee9bd5631eb8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dunzhang/stella_en_1.5B_v5") model = PeftModel.from_pretrained(base_model, "VERSIL91/21989a9f-7539-4956-94ad-ee9bd5631eb8") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from VERSIL91/21989a9f-7539-4956-94ad-ee9bd5631eb8: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/21989a9f-7539-4956-94ad-ee9bd5631eb8/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://VERSIL91/21989a9f-7539-4956-94ad-ee9bd5631eb8/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/21989a9f-7539-4956-94ad-ee9bd5631eb8/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- b053f33a0bb79da839931e882ee788b7c2656cca0d67fe401db6c8a3609f64ac
- Size of remote file:
- 6.78 kB
- SHA256:
- 21bbc08fc7457a6337ddd1833ec07d1b7396a40ffb08e3286bedca2feb10b9bc
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