alirezamsh/small100
translation model by alirezamsh
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Model card & documentation
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SMaLL-100 is a compact and fast massively multilingual machine translation model covering more than 10K language pairs, that achieves competitive results with M2M-100 while being much smaller and faster. It is introduced in this paper(accepted to EMNLP2022), and initially released in this repository. The model architecture and config are the same as M2M-100 implementation, but the tokenizer is modified to adjust language codes. So, you should load the tokenizer locally from tokenizationsmall100.py file for the moment. Demo: https://huggingface.co/spaces/alirezamsh/small100 Note: SMALL100Tokenizer requires sentencepiece, so make sure to install it by: from transformers import M2M100ForConditionalGeneration from tokenizationsmall100 import SMALL100Tokenizer model = M2M100ForConditionalGeneration.frompretrained("alirezamsh/small100") tokenizer = SMALL100Tokenizer.frompretrained("alirezamsh/small100", tgtlang="fr") srctext = "Life is like a box of…
Read the full model card ↗ · Preview checked 2026-11-01T12:25:47.245Z
Inside the original model card — Document outline
- SMALL-100 Model
- translate Hindi to French
- => "La vie est comme une boîte de chocolat."
- translate Chinese to English
- => "Life is like a box of chocolate."
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Model overview
alirezamsh/small100 is a translation model repository published by alirezamsh on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- translation
- Library
- transformers
- Recent downloads (30 days)
- 11,930
- Cumulative likes
- 111
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 332,735,488
- Architecture
- M2M100ForConditionalGeneration
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2022-11-01T17:58:07.000Z
- Last modified
- 2024-07-23T07:38:32.000Z
Compatibility and lineage
Reported languages: multilingual, af, am, ar, ast, az, ba, be, bg, bn, br, bs, ca, ceb, cs, cy, da, de, el, en, es, et, fa, ff, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hr, ht, hu, hy, id, ig
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:35.191Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.