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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("anderloh/huggingface_EasyToClassProblem_small") model = AutoModelForPreTraining.from_pretrained("anderloh/huggingface_EasyToClassProblem_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from anderloh/huggingface_EasyToClassProblem_small: direct link, hf CLI and curl.
- Browser
- Download file 53 MB
-
https://huggingface.co/anderloh/huggingface_EasyToClassProblem_small/resolve/main/model.safetensors
- Command line
-
hf download hf://anderloh/huggingface_EasyToClassProblem_small/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/anderloh/huggingface_EasyToClassProblem_small/resolve/main/model.safetensors
53 MB
- Xet hash:
- e97e3eabe8a98c6f9314f3951476263d972430b11738b64034ee8d97e0dab559
- Size of remote file:
- 53 MB
- SHA256:
- 3dadd657ab69b96d65430b747c6e794fab6de276f9901e418ca33f7ead527efb
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