Feature Extraction
Transformers.js
ONNX
English
clip
text-encoder
quantized
int8
icon-search
browser
Instructions to use Cortiq-Labs/IconClip-ViT-L-14-text-encoder-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Cortiq-Labs/IconClip-ViT-L-14-text-encoder-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'Cortiq-Labs/IconClip-ViT-L-14-text-encoder-ONNX');
| { | |
| "tokenizer_class": "CLIPTokenizer", | |
| "model_max_length": 77, | |
| "do_lower_case": true, | |
| "bos_token": "<|startoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": "<|endoftext|>", | |
| "unk_token": "<|endoftext|>", | |
| "errors": "replace" | |
| } | |