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.json from TenzinGayche/merged_tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 35 MB
-
https://huggingface.co/TenzinGayche/merged_tokenizer/resolve/main/tokenizer.json
- Command line
-
hf download hf://TenzinGayche/merged_tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/TenzinGayche/merged_tokenizer/resolve/main/tokenizer.json
35 MB
- Xet hash:
- afb6a234a09fa31f459b2d1c9036f00f281e5c3a3e89e451e85f3b57aee2145c
- Size of remote file:
- 35 MB
- SHA256:
- 1241e2e19ca8153ff122f2cb3725b6553902e816b4a123a5523714352376dcf6
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