Instructions to use isashap/clmmasking-waldomodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isashap/clmmasking-waldomodel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("distilgpt2") model = PeftModel.from_pretrained(base_model, "isashap/clmmasking-waldomodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60c8a109c68245c124472bdfc16c14e728b668a1aea263774df74aadd7722170
- Size of remote file:
- 25.3 kB
- SHA256:
- 4e57915348fa12f674ff9f8d16f865b573ddb87401c7605709d0a3cfa4f55014
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