Instructions to use Omid-sar/bloom-560M-lora-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Omid-sar/bloom-560M-lora-tagger with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-560m") model = PeftModel.from_pretrained(base_model, "Omid-sar/bloom-560M-lora-tagger") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8802992fbb49bd68def70d11d7fd8dc476d6300a2fc6ae9f046894183b77201d
- Size of remote file:
- 6.31 MB
- SHA256:
- dbd9e31f4dc17c5e695d48233b4c0ae8ed4238775d9841cb20277bcc5d407fbd
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