Instructions to use brandonshit/google-gemma-7b-1724785905 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use brandonshit/google-gemma-7b-1724785905 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "brandonshit/google-gemma-7b-1724785905") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79ec7dde5efba535c6251363f496d717703d235338b4802c10d8d62ef031aacf
- Size of remote file:
- 5.3 kB
- SHA256:
- 5c6e74a517f2d55ba971e16c41e8022b34ea9976664863e3f78e4501f3c1d6d3
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