Instructions to use bpatri/bloom-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bpatri/bloom-3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "bpatri/bloom-3b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f93ff7822c697ce42c7c68387675b80fafe6c9c52d71310e6191b8b6b7df122e
- Size of remote file:
- 19.7 MB
- SHA256:
- 8722caa37dbe2214bf170748b76738b096aa55eab03381db494351e6ab14e9de
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