Instructions to use Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct") model = PeftModel.from_pretrained(base_model, "Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52: direct link, hf CLI and curl.
- Browser
- Download file 587 kB
-
https://huggingface.co/Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52/resolve/main/tokenizer.model
- Command line
-
hf download hf://Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52/resolve/main/tokenizer.model
587 kB
- Xet hash:
- 70de076fa18896073beef6149fbfc8ac2a287bc510c1a6f422ca4b8538b7a952
- Size of remote file:
- 587 kB
- SHA256:
- 37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
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