Instructions to use aiqwe/gemma-2b-it-example-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aiqwe/gemma-2b-it-example-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-1.1-2b-it") model = PeftModel.from_pretrained(base_model, "aiqwe/gemma-2b-it-example-v1") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from aiqwe/gemma-2b-it-example-v1: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/aiqwe/gemma-2b-it-example-v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://aiqwe/gemma-2b-it-example-v1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aiqwe/gemma-2b-it-example-v1/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- 08b15328360f9fc5acc566f73426f9c3bf72cc6c491d3c6d71ff4e2f903b6ffd
- Size of remote file:
- 17.5 MB
- SHA256:
- cf26ff901e30c5f38af16c3a8aa9fe72a15c54351c101dae5514203938a74498
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