Instructions to use romankovsv/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use romankovsv/test1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-7b1") model = PeftModel.from_pretrained(base_model, "romankovsv/test1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3807d3ba5fdec430548f2320b79844328f1a9cb10c7ffa92a73b0d64f568f8f4
- Size of remote file:
- 31.5 MB
- SHA256:
- 1aef850a9c30d6a03edbccad32d0275db0ed2f899c0d24b0d298131e3317121e
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