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Roformer Chinese Sim Char Ft Base by junnyu

By junnyu · 17 downloads
HF Repo ↗ Copy URL

Roformer Chinese Sim Char Ft Base is an open-source language model by junnyu. Features: LLM, VRAM: 0.4GB, Context: 0.5K, LLM Explorer Score: 0.

  Pytorch   Region:us   Roformer   Tf2.0   Zh
Model Card on HF 🤗: https://huggingface.co/junnyu/roformer_chinese_sim_char_ft_base 

Roformer Chinese Sim Char Ft Base Parameters and Internals

Model Type 
Causal Language Model, Text Generation
Use Cases 
Areas:
Natural Language Processing
Applications:
Synonym generation, Text similarity
Primary Use Cases:
Generating similar sentences, Text evaluation
Limitations:
The model might produce text that is nonsensical or contextually inappropriate.
Additional Notes 
This implementation showcases how to generate synonyms using a pre-trained RoFormer model for text-based tasks, specifically tailored to Chinese language.
Supported Languages 
Chinese (Full Support)
Training Details 
Model Architecture:
RoFormer architecture uses rotary position embeddings and is optimized for Chinese language tasks.
Input Output 
Input Format:
The model expects input text as tensors (encoded with BertTokenizer).
Accepted Modalities:
text
Output Format:
The model outputs text strings, with potential multiple variants for similarity evaluation.
Performance Tips:
Ensure GPU availability for faster processing.
LLM NameRoformer Chinese Sim Char Ft Base
Repository 🤗https://huggingface.co/junnyu/roformer_chinese_sim_char_ft_base 
Required VRAM0.4 GB
Updated2026-07-18
Maintainerjunnyu
Model Typeroformer
Model Files  0.4 GB
Supported Languageszh
Model ArchitectureRoFormerForCausalLM
Context Length512
Model Max Length512
Vocabulary Size12000

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