Instructions to use thhaus/nemotron4-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thhaus/nemotron4-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thhaus/nemotron4-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from thhaus/nemotron4-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 4.55 MB
-
https://huggingface.co/thhaus/nemotron4-tokenizer/resolve/main/tokenizer.model
- Command line
-
hf download hf://thhaus/nemotron4-tokenizer/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/thhaus/nemotron4-tokenizer/resolve/main/tokenizer.model
4.55 MB
- Xet hash:
- fd06b5a092700777dfc1ed56259e1d78f463786c2b27b300e9709e7200db9c6d
- Size of remote file:
- 4.55 MB
- SHA256:
- 6dfd8b970f437002fc445214304969fe59e64d4f48500bd0b77ba55340f2d811
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