Instructions to use kiel2/kiel-2-codex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kiel2/kiel-2-codex with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("kiel2/kiel-2-codex") model = PeftModel.from_pretrained(base_model, "kiel2/kiel-2-codex") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from kiel2/kiel-2-codex: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/kiel2/kiel-2-codex/resolve/main/tokenizer.json
- Command line
-
hf download hf://kiel2/kiel-2-codex/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/kiel2/kiel-2-codex/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 59c5657e34f05e25f3fa090a0275d1b26adb33cb757bf86531c0f372c657bd91
- Size of remote file:
- 11.4 MB
- SHA256:
- edfc0debec846c25f2dd452061f7725bf5b66336912a33ba1ec10ebd6c4b49cf
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