Instructions to use arnavagrawal/BLOOMZ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arnavagrawal/BLOOMZ with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-3b") model = PeftModel.from_pretrained(base_model, "arnavagrawal/BLOOMZ") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36a86057ccbba5e3a8376115cdb653e39c972c21844fad312e7d9fa0cba8c729
- Size of remote file:
- 9.85 MB
- SHA256:
- b911e5c8362d9f0ce82b3ac6c55c8ab5226346219c374824fdbb9ea35c3f2419
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