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 tokenizer.json from isashap/maxtrained_waldomodel: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/isashap/maxtrained_waldomodel/resolve/main/tokenizer.json
- Command line
-
hf download hf://isashap/maxtrained_waldomodel/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/isashap/maxtrained_waldomodel/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.