Instructions to use peft-internal-testing/tiny_GPT2ForTokenClassification-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use peft-internal-testing/tiny_GPT2ForTokenClassification-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-gpt2") model = PeftModel.from_pretrained(base_model, "peft-internal-testing/tiny_GPT2ForTokenClassification-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ac639a622f723b894179fbff513c59d2e956658965a4c58ba7ad9da3f5a36c0
- Size of remote file:
- 25 kB
- SHA256:
- 187412f6eb8e710dac3c4c482a9e9c4a8bb7e35d4763592c7500c9626f063a42
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