Instructions to use kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('zero-shot-classification', 'kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX');
Download tokenizer_config.json from kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 306 Bytes
-
https://huggingface.co/kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX/resolve/main/tokenizer_config.json
306 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<|startoftext|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "is_local": false, | |
| "mask_token": "<|mask|>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<|pad|>", | |
| "tokenizer_class": "TokenizersBackend" | |
| } | |