Instructions to use TenzinGayche/merged_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TenzinGayche/merged_tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TenzinGayche/merged_tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from TenzinGayche/merged_tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 4.34 MB
-
https://huggingface.co/TenzinGayche/merged_tokenizer/resolve/main/tokenizer.model
- Command line
-
hf download hf://TenzinGayche/merged_tokenizer/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/TenzinGayche/merged_tokenizer/resolve/main/tokenizer.model
4.34 MB
- Xet hash:
- 08658637b12efd2043a94c76a170c277f6dd39dc7aec9b529f1ae03ff698ffd6
- Size of remote file:
- 4.34 MB
- SHA256:
- 09d1a883ef8bc006f6ca6b16d3fedb4cac3d68b764997e21c4d0d3ac300aa47c
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