Instructions to use davaa33/mns_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davaa33/mns_tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("davaa33/mns_tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from davaa33/mns_tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 462 kB
-
https://huggingface.co/davaa33/mns_tokenizer/resolve/main/spiece.model
- Command line
-
hf download hf://davaa33/mns_tokenizer/spiece.model
-
curl -L -o spiece.model https://huggingface.co/davaa33/mns_tokenizer/resolve/main/spiece.model
462 kB
- Xet hash:
- b801d40bfbb9bdbff1a43d4307a2ccdd9249e80cc5332fde46ee5fd1942fad62
- Size of remote file:
- 462 kB
- SHA256:
- f651a67478f78aa17f004fb7b70ec4539fda8d1e2cca81f26a9f0c2a8e4579c1
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