Instructions to use anderloh/huggingface_EasyToClassProblem_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/huggingface_EasyToClassProblem_small with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("anderloh/huggingface_EasyToClassProblem_small") model = AutoModelForPreTraining.from_pretrained("anderloh/huggingface_EasyToClassProblem_small") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
072b1b0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3dadd657ab69b96d65430b747c6e794fab6de276f9901e418ca33f7ead527efb
size 53036888
|