Instructions to use smjain/GemmaCurriculum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smjain/GemmaCurriculum with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2-7b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "smjain/GemmaCurriculum") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from smjain/GemmaCurriculum: direct link, hf CLI and curl.
- Browser
- Download file 7.03 MB
-
https://huggingface.co/smjain/GemmaCurriculum/resolve/main/tokenizer.json
- Command line
-
hf download hf://smjain/GemmaCurriculum/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/smjain/GemmaCurriculum/resolve/main/tokenizer.json
7.03 MB
- Xet hash:
- 16a5836e227545e89ab45b50d822a8db7aa8776c3c528aea2bce31405994b567
- Size of remote file:
- 7.03 MB
- SHA256:
- 4e5ecb53675f13409bc06d91ae705a3e33e74d830809f2d896d8b59dbaab84ce
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