Instructions to use sasindumalhara/functiongemma_finetune_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sasindumalhara/functiongemma_finetune_lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sasindumalhara/functiongemma_finetune_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.model from sasindumalhara/functiongemma_finetune_lora: direct link, hf CLI and curl.
- Browser
- Download file 4.69 MB
-
https://huggingface.co/sasindumalhara/functiongemma_finetune_lora/resolve/main/tokenizer.model
- Command line
-
hf download hf://sasindumalhara/functiongemma_finetune_lora/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/sasindumalhara/functiongemma_finetune_lora/resolve/main/tokenizer.model
4.69 MB
- Xet hash:
- 0645eb9b56172ca0880e982edb4275ef41f442ea3a0929d6e48aef7acc2db95a
- Size of remote file:
- 4.69 MB
- SHA256:
- aa009fcbc3589a9904d30d04834094fea4653c2ac6d2de2cd1262d4f7a50ceb3
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