Instructions to use MuseMesh/mume-tokenizer-32k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MuseMesh/mume-tokenizer-32k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MuseMesh/mume-tokenizer-32k", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from MuseMesh/mume-tokenizer-32k: direct link, hf CLI and curl.
- Browser
- Download file 518 kB
-
https://huggingface.co/MuseMesh/mume-tokenizer-32k/resolve/main/tokenizer.model
- Command line
-
hf download hf://MuseMesh/mume-tokenizer-32k/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/MuseMesh/mume-tokenizer-32k/resolve/main/tokenizer.model
518 kB
- Xet hash:
- b7f2712c8f7c9ecb8c51c43220b21028ada0c5d00bfa3280b2acd3ab744b3ba7
- Size of remote file:
- 518 kB
- SHA256:
- a8fce91a9fbcce711999376b291a36456b15beb62ee9d821c8cf175a67d2b409
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