Instructions to use Prerna2055/training_checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Prerna2055/training_checkpoints with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("t5-small") model = PeftModel.from_pretrained(base_model, "Prerna2055/training_checkpoints") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4079482d67c1e157dc1d711dfd98bc774688f99a685717c39c286c5e43814b59
- Size of remote file:
- 5.37 kB
- SHA256:
- b2cb853df214b63edb3e465fbaf57344414de63e4ef0ed3868a76e818ee891d6
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