Instructions to use Chandher/lorabloom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Chandher/lorabloom with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-1b7") model = PeftModel.from_pretrained(base_model, "Chandher/lorabloom") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f14012ae18c1fc2fc9e3857d35a376675d37642baa4357307425cb5572f3234b
- Size of remote file:
- 3.16 MB
- SHA256:
- 1a2bc749fd87149700e1ac0042d44e163bc858566e671665a3c381b12d4867f7
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