Instructions to use dwb2023/gemma2b_quotes_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dwb2023/gemma2b_quotes_v4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "dwb2023/gemma2b_quotes_v4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b4a114f4abe2626306845b6ec9cecb076c8cfc1005436f50c1d396e326f0195
- Size of remote file:
- 5.3 kB
- SHA256:
- 405ada95d6f138a2511131073ce5c614c23b8d351b2c20d1ae7a59033c407121
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