Instructions to use daniel40/9d3e34c6-ad39-4dc4-8b65-e4083b0fd0bf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/9d3e34c6-ad39-4dc4-8b65-e4083b0fd0bf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2") model = PeftModel.from_pretrained(base_model, "daniel40/9d3e34c6-ad39-4dc4-8b65-e4083b0fd0bf") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from daniel40/9d3e34c6-ad39-4dc4-8b65-e4083b0fd0bf: direct link, hf CLI and curl.
- Browser
- Download file 4.24 MB
-
https://huggingface.co/daniel40/9d3e34c6-ad39-4dc4-8b65-e4083b0fd0bf/resolve/5d587a7deec088cbef4b49d55a7430373bd52540/tokenizer.model
- Command line
-
hf download hf://daniel40/9d3e34c6-ad39-4dc4-8b65-e4083b0fd0bf@5d587a7deec088cbef4b49d55a7430373bd52540/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/daniel40/9d3e34c6-ad39-4dc4-8b65-e4083b0fd0bf/resolve/5d587a7deec088cbef4b49d55a7430373bd52540/tokenizer.model
4.24 MB
- Xet hash:
- 4747d621061ff864406560d79c8c3e355c05f2e88ba30eba88c8d5881d3d220d
- Size of remote file:
- 4.24 MB
- SHA256:
- 61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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