Instructions to use balasvasan/trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use balasvasan/trainer with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-1b7") model = PeftModel.from_pretrained(base_model, "balasvasan/trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e9bc8bf56b419282868bf14072176cf56cc11a9ab60f3f9a9e77fdce4aefae7
- Size of remote file:
- 12.6 MB
- SHA256:
- 318ce993a0790b6615c1f6eb4ba287896b56793a8335088b2ebc5c0de2a70982
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