Instructions to use shenyang/bloom-560m-qa-mit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shenyang/bloom-560m-qa-mit with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-560m") model = PeftModel.from_pretrained(base_model, "shenyang/bloom-560m-qa-mit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d5fb0ed211a05dae00b5b705fe8f14f36c58cfe60b2f20e26d03bb033b1e6e5
- Size of remote file:
- 3.15 MB
- SHA256:
- 4d9cd26d22c0e10bdaf3d25fb7eb176309a1b8a1196b15e995d8d772b519c2c6
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