Instructions to use llmcode/bloom-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use llmcode/bloom-3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "llmcode/bloom-3b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9309cdc42f012abac6e03776c1ec4f13945f81a35601a81fd3fff7255e4e988
- Size of remote file:
- 9.85 MB
- SHA256:
- 3ea276beb429b66a3b7c223857e9637ae04420e29c47811e1a7b737abdc7593d
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