Text Generation
Transformers.js
ONNX
English
Russian
qwen3
rag
faithful-qa
occ
onnxruntime
webgpu
conversational
Instructions to use occ-ai/OCC-RAG-0.6B-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use occ-ai/OCC-RAG-0.6B-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'occ-ai/OCC-RAG-0.6B-ONNX');
| { | |
| "</think>": 151668, | |
| "</tool_call>": 151658, | |
| "</tool_response>": 151666, | |
| "<think>": 151667, | |
| "<tool_call>": 151657, | |
| "<tool_response>": 151665, | |
| "<|answer_end|>": 151683, | |
| "<|answer_start|>": 151682, | |
| "<|box_end|>": 151649, | |
| "<|box_start|>": 151648, | |
| "<|endoftext|>": 151643, | |
| "<|file_sep|>": 151664, | |
| "<|fim_middle|>": 151660, | |
| "<|fim_pad|>": 151662, | |
| "<|fim_prefix|>": 151659, | |
| "<|fim_suffix|>": 151661, | |
| "<|im_end|>": 151645, | |
| "<|im_start|>": 151644, | |
| "<|image_pad|>": 151655, | |
| "<|object_ref_end|>": 151647, | |
| "<|object_ref_start|>": 151646, | |
| "<|quad_end|>": 151651, | |
| "<|quad_start|>": 151650, | |
| "<|query_analysis_end|>": 151675, | |
| "<|query_analysis_start|>": 151674, | |
| "<|query_end|>": 151670, | |
| "<|query_start|>": 151669, | |
| "<|reasoning_end|>": 151679, | |
| "<|reasoning_start|>": 151678, | |
| "<|repo_name|>": 151663, | |
| "<|source_analysis_end|>": 151677, | |
| "<|source_analysis_start|>": 151676, | |
| "<|source_end|>": 151672, | |
| "<|source_id|>": 151673, | |
| "<|source_start|>": 151671, | |
| "<|status_end|>": 151681, | |
| "<|status_start|>": 151680, | |
| "<|video_pad|>": 151656, | |
| "<|vision_end|>": 151653, | |
| "<|vision_pad|>": 151654, | |
| "<|vision_start|>": 151652 | |
| } | |