Instructions to use SangMoone/results_1011 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SangMoone/results_1011 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/gemma-ko-2b") model = PeftModel.from_pretrained(base_model, "SangMoone/results_1011") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SangMoone/results_1011: direct link, hf CLI and curl.
- Browser
- Download file 34.3 MB
-
https://huggingface.co/SangMoone/results_1011/resolve/main/tokenizer.json
- Command line
-
hf download hf://SangMoone/results_1011/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SangMoone/results_1011/resolve/main/tokenizer.json
34.3 MB
- Xet hash:
- da0b477478b1828782c01250779621a3b890fa7baa693edb623519c6285b9589
- Size of remote file:
- 34.3 MB
- SHA256:
- 25061472d22ae7fe55a4f545eedc096c94c364d2a40de80538684d48333959ac
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