Instructions to use Yanmife/gemma-2b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yanmife/gemma-2b-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Yanmife/gemma-2b-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Yanmife/gemma-2b-lora: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/Yanmife/gemma-2b-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://Yanmife/gemma-2b-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Yanmife/gemma-2b-lora/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 309152d3c38fb40c131f4ccaa608c7ea9289f7fcb89358c96a193a24b36a6a02
- Size of remote file:
- 34.4 MB
- SHA256:
- d5b849b9939db525871bd1296ec974cea2cd0896f47812ef68881cd6a6754d45
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.