Instructions to use isashap/contexttrained-validationloss-waldomodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isashap/contexttrained-validationloss-waldomodel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("distilgpt2") model = PeftModel.from_pretrained(base_model, "isashap/contexttrained-validationloss-waldomodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06a2fca7d0b1a5e2189b96e623319c77d9fbef66cb7d6dba2a81ee92242f0984
- Size of remote file:
- 25.3 kB
- SHA256:
- 165b7e65810dee0b3f3cdf265bf623066c6c4fce2570978936c031cc96730607
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