Instructions to use h4rr9/mnist_9bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h4rr9/mnist_9bit with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, Tim tokenizer = AutoTokenizer.from_pretrained("h4rr9/mnist_9bit") model = Tim.from_pretrained("h4rr9/mnist_9bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from h4rr9/mnist_9bit: direct link, hf CLI and curl.
- Browser
- Download file 503 MB
-
https://huggingface.co/h4rr9/mnist_9bit/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://h4rr9/mnist_9bit/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/h4rr9/mnist_9bit/resolve/main/pytorch_model.bin
503 MB
- Xet hash:
- 85ef981ee0c864fa3c298146eba99e4a22ec1d54f33a0c25da149d4aafb693e8
- Size of remote file:
- 503 MB
- SHA256:
- d5bb20d7745fa1543deeac0be3981c31536fd6758350e2716ae68c6143c82c36
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