Instructions to use qqva/google-gemma-2b-1724966503 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use qqva/google-gemma-2b-1724966503 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "qqva/google-gemma-2b-1724966503") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecdbc3b0824e139ab58c0850961bdf4c0fe73a7e52c3fddb49ced12393d1e905
- Size of remote file:
- 5.43 kB
- SHA256:
- afd631f6108e1c577a86cda89bb9dbf59abcc9f802c4fe6c1005e9b5b6c92967
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