Instructions to use nadcy/bloomz-1b7_MONA_LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nadcy/bloomz-1b7_MONA_LORA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-1b7") model = PeftModel.from_pretrained(base_model, "nadcy/bloomz-1b7_MONA_LORA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ac73c5d1111192d05445efbbe6cc9b7614ccc957915fa903de4a158dcad842d
- Size of remote file:
- 12.6 MB
- SHA256:
- 47aa123f3493ad09e39fca7a829c13f96441922197a3f0abec76f851ba160ce0
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