Instructions to use OdiaGenAI-LLM/odia-gemma-7b-base-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OdiaGenAI-LLM/odia-gemma-7b-base-checkpoints with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-7b") model = PeftModel.from_pretrained(base_model, "OdiaGenAI-LLM/odia-gemma-7b-base-checkpoints") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 446725dca9457cb5d71f4c959cbd3c3c898c870c265a0059281e7837d80458f7
- Size of remote file:
- 5.69 kB
- SHA256:
- 4a4ab9da40c5b7630b88beccc23069550f831ccb9b69b82772516407dd51150c
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