Instructions to use zidsi/Zlatorog-30B-MoE-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zidsi/Zlatorog-30B-MoE-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zidsi/Zlatorog-30B-MoE-tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41d5c9e30e5d3fa31277e2a25bd52a171f8757e406cc1428018e295a06ab2952
- Size of remote file:
- 16.2 MB
- SHA256:
- 235aca8111e8a8934667d4cb17e608b7d9ba62ef482975e5eb22626a448a388e
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