Instructions to use isashap/maxtrained_waldomodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isashap/maxtrained_waldomodel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("distilgpt2") model = PeftModel.from_pretrained(base_model, "isashap/maxtrained_waldomodel") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from isashap/maxtrained_waldomodel: direct link, hf CLI and curl.
- Browser
- Download file 25.3 kB
-
https://huggingface.co/isashap/maxtrained_waldomodel/resolve/main/adapter_model.bin
- Command line
-
hf download hf://isashap/maxtrained_waldomodel/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/isashap/maxtrained_waldomodel/resolve/main/adapter_model.bin
25.3 kB
- Xet hash:
- 05a49fd259245d22240c1025e219c9ff53e230c9f3c121d95dbf2d1778312fbb
- Size of remote file:
- 25.3 kB
- SHA256:
- fb90162bdbb8e5589b32e3e7f5adce062f9af5c5be9f124c5b0d9d1349e57c49
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