Instructions to use mtzig/reverse_add_replicate_eval17_small_1layer_d2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval17_small_1layer_d2 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_small_1layer_d2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b02ca356694afce0279aa6743cf15db64b523ca2361ec5f15916defe63d916a
- Size of remote file:
- 1.6 kB
- SHA256:
- 540a9fb5a0eb5b838bebeb224b47152b01367885e6a0687fcdccbd327fd9cf21
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