Instructions to use aggie/gbv-SmolLM2-135M-Instruct-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use aggie/gbv-SmolLM2-135M-Instruct-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'aggie/gbv-SmolLM2-135M-Instruct-ONNX');
gbv-SmolLM2-135M-Instruct1 (ONNX)
This is an ONNX version of aggie/gbv-SmolLM2-135M-Instruct1. It was automatically converted and uploaded using this Hugging Face Space.
Usage with Transformers.js
See the pipeline documentation for text-generation: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TextGenerationPipeline
license: apache-2.0 datasets: - Heriot-WattUniversity/gbv-anno language: - en base_model: - HuggingFaceTB/SmolLM2-135M-Instruct pipeline_tag: text-generation
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Model tree for aggie/gbv-SmolLM2-135M-Instruct-ONNX
Base model
HuggingFaceTB/SmolLM2-135M Quantized
HuggingFaceTB/SmolLM2-135M-Instruct Finetuned
aggie/gbv-SmolLM2-135M-Instruct