Instructions to use FarisAzny/bloom-1b1-lora-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FarisAzny/bloom-1b1-lora-tagger with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-1b1") model = PeftModel.from_pretrained(base_model, "FarisAzny/bloom-1b1-lora-tagger") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfbbf6254382e69b019877f0757b0305c1ab01ed8785b9bb5aa175a82ebad380
- Size of remote file:
- 9.45 MB
- SHA256:
- f188c0ed87f5c043c8f2c61dc94e3f649a907f2789651d2b55709ffd58b5fa9a
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