Instructions to use sakthivelf22/gemma2-2b-functioncalling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sakthivelf22/gemma2-2b-functioncalling with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "sakthivelf22/gemma2-2b-functioncalling") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cafaea3e1bf0b0802d8c25efef59086cdfb72ba4e63418cc23ceea3ebb747bb
- Size of remote file:
- 41.6 MB
- SHA256:
- ee44dc4be6af11ba07e69914fa810ff1352a4c9a1864892610e20a0f31ec3cb0
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