Instructions to use dacarokann/destrier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dacarokann/destrier with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3.6-35B-A3B") model = PeftModel.from_pretrained(base_model, "dacarokann/destrier") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dacarokann/destrier: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/dacarokann/destrier/resolve/main/tokenizer.json
- Command line
-
hf download hf://dacarokann/destrier/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/dacarokann/destrier/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 46af4c54b046e83d6c2998c0e4c5ea5f3820bc29551cfcf7063ea55abbd17de3
- Size of remote file:
- 20 MB
- SHA256:
- e75fb669c47abdabca665a1714acc36787e521ef9c9d4d47539d094ae31f3443
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