Instructions to use MacLeanLuke/gemma-2b-tool-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MacLeanLuke/gemma-2b-tool-tuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "MacLeanLuke/gemma-2b-tool-tuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e961b068c93a82de80f54d51c384e146f84742079ef360f73b892a0e088c11d
- Size of remote file:
- 34.4 MB
- SHA256:
- 1cd8f004969d7a7c0b0d9b1c0d3335171bf05fd2e2bcf3066f780c9ad5b3fe99
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