Instructions to use balticml/mmbert-small-massive-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use balticml/mmbert-small-massive-intent with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'balticml/mmbert-small-massive-intent');
Download tokenizer.json from balticml/mmbert-small-massive-intent: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/balticml/mmbert-small-massive-intent/resolve/main/tokenizer.json
- Command line
-
hf download hf://balticml/mmbert-small-massive-intent/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/balticml/mmbert-small-massive-intent/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- a9fca48a66f96ec5a64134410000654ee507988f74c6e2105521259e3d6b8c9a
- Size of remote file:
- 34.4 MB
- SHA256:
- a421101343fde7bef42c84ba71e1218de0c5510c520856f015519763f4b40cd5
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