Instructions to use Tokenade/potion-multilingual-128M-i8-tokenade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use Tokenade/potion-multilingual-128M-i8-tokenade with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("Tokenade/potion-multilingual-128M-i8-tokenade") embeddings = model.encode(["It's dangerous to go alone!", "It's a secret to everybody."]) print(embeddings.shape) - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Tokenade/potion-multilingual-128M-i8-tokenade: direct link, hf CLI and curl.
- Browser
- Download file 18.6 MB
-
https://huggingface.co/Tokenade/potion-multilingual-128M-i8-tokenade/resolve/main/tokenizer.json
- Command line
-
hf download hf://Tokenade/potion-multilingual-128M-i8-tokenade/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Tokenade/potion-multilingual-128M-i8-tokenade/resolve/main/tokenizer.json
18.6 MB
- Xet hash:
- 97dc2e5f9f733b287e666825b7b864116ad1f7c91d11e77eb4880ce7f5ce96ac
- Size of remote file:
- 18.6 MB
- SHA256:
- 19f1909063da3cfe3bd83a782381f040dccea475f4816de11116444a73e1b6a1
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