Instructions to use yanggul/Bloom3b-T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yanggul/Bloom3b-T with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "yanggul/Bloom3b-T") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef61023f8dd0e801b85afa522dd398759af040ef5b42a4d76ee621d59a59fa1f
- Size of remote file:
- 9.85 MB
- SHA256:
- b943b52b980e79562439d4ac7839f164a4b5f657fbbae128761df95a6026cc7b
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