Instructions to use chrishayuk/v11-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrishayuk/v11-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chrishayuk/v11-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download v11.vocab.bin from chrishayuk/v11-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 1.53 MB
-
https://huggingface.co/chrishayuk/v11-tokenizer/resolve/main/v11.vocab.bin
- Command line
-
hf download hf://chrishayuk/v11-tokenizer/v11.vocab.bin
-
curl -L -o v11.vocab.bin https://huggingface.co/chrishayuk/v11-tokenizer/resolve/main/v11.vocab.bin
1.53 MB
- Xet hash:
- a9e35748237b20f57c09a68dbe022f87f61ac366d970b0a64eb747ae6b57bdd2
- Size of remote file:
- 1.53 MB
- SHA256:
- 873f44dea58558abd355454b6a22281ba69ad5afe850d05e48c271536471905b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.