Instructions to use Flaggoneer/bloom-3b-lora-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Flaggoneer/bloom-3b-lora-test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "Flaggoneer/bloom-3b-lora-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73d1a96fc996b55ae438079d7f96f16c23c12476408a5118d5382ae5aeb80285
- Size of remote file:
- 9.85 MB
- SHA256:
- 14a8dfb64fab496b2fc19473a1264bc2923fd810ab358dc825d4b5dd5d8c84a9
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