Instructions to use Patt/bloom-560m-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Patt/bloom-560m-qa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-560m") model = PeftModel.from_pretrained(base_model, "Patt/bloom-560m-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1a2249fe33a33cea290916f5cab1a37d62c10f20a55100ebc93497b27a4184e
- Size of remote file:
- 3.15 MB
- SHA256:
- a65fa21f246d6c6f1941eabd62ac2e39ae0625eb07b00ee2444f1c3cc26a22e5
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