Instructions to use mst98/research-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use mst98/research-small with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'mst98/research-small');
|
Download README.md from mst98/research-small: direct link, hf CLI and curl.
- Browser
- Download file 557 Bytes
-
https://huggingface.co/mst98/research-small/resolve/main/README.md
- Command line
-
hf download hf://mst98/research-small/README.md
-
curl -L -o README.md https://huggingface.co/mst98/research-small/resolve/main/README.md
557 Bytes
metadata
base_model: meta-llama/Llama-3.2-1B
library_name: transformers.js
license: llama3.2
https://huggingface.co/meta-llama/Llama-3.2-1B with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).