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:
# 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
Training in progress epoch 5
Browse files- all_results.json +1 -0
- pytorch_model.bin +1 -1
all_results.json
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{"perplexity": 1.2167439428442341}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:80c39429a7926d4949abc95ce0148c57db4b1c1bf0d33e33b40ed7defba18c3a
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size 502784229
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