Instructions to use alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63/resolve/main/tokenizer.json
- Command line
-
hf download hf://alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- dbae0ddd9b5861807161944e6c2bc1ccb716f1801edfd9a93d8a4f4a83cc6632
- Size of remote file:
- 34.4 MB
- SHA256:
- d964a2c8346d40f95791533eae48730d5f163c2e65fd16333560fd3e661df318
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