Instructions to use LearneratVnit/bloom-560m-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LearneratVnit/bloom-560m-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-560m") model = PeftModel.from_pretrained(base_model, "LearneratVnit/bloom-560m-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cef729ce228b25a380fa705a4085b5e6d75bfefbab0d799fa2960ef63b319ce
- Size of remote file:
- 6.3 MB
- SHA256:
- 82783877346a703251e55b7a2c6a8f058a5829db9cbeea34798594721f5f81a6
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