Instructions to use royhirsch/jokes_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use royhirsch/jokes_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "royhirsch/jokes_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24c47350b1a5d30f6392d6676f0d55be9dbe5be5995a99a218ac52fac6344f7e
- Size of remote file:
- 9.85 MB
- SHA256:
- 24c4acb0192586be51d26475fa21c228a4fbacab5e5357ffa49c7d090ebe2108
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