Systran

18 models • 1 total models in database

Sort by:

faster-whisper-large-v3

--- language: - en - zh - de - es - ru - ko - fr - ja - pt - tr - pl - ca - nl - ar - sv - it - id - hi - fi - vi - he - uk - el - ms - cs - ro - da - hu - ta - 'no' - th - ur - hr - bg - lt - la - mi - ml - cy - sk - te - fa - lv - bn - sr - az - sl - kn - et - mk - br - eu - is - hy - ne - mn - bs - kk - sq - sw - gl - mr - pa - si - km - sn - yo - so - af - oc - ka - be - tg - sd - gu - am - yi - lo - uz - fo - ht - ps - tk - nn - mt - sa - lb - my - bo - tl - mg - as - tt - haw - ln - ha - b

license:mit

530,190

469

faster-whisper-medium.en

--- language: - en tags: - audio - automatic-speech-recognition license: mit library_name: ctranslate2 ---

license:mit

219,386

faster-whisper-medium

license:mit

184,667

faster-whisper-large-v2

This repository contains the conversion of openai/whisper-large-v2 to the CTranslate2 model format. This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper. The original model was converted with the following command: Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the `computetype` option in CTranslate2. For more information about the original model, see its model card.

license:mit

125,081

faster-whisper-small.en

license:mit

69,478

faster-whisper-tiny.en

license:mit

30,609

faster-whisper-base.en

This repository contains the conversion of openai/whisper-base.en to the CTranslate2 model format. This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper. The original model was converted with the following command: Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the `computetype` option in CTranslate2. For more information about the original model, see its model card.

license:mit

26,903

faster-distil-whisper-large-v3

license:mit

6,349

faster-distil-whisper-medium.en

license:mit

2,949

faster-whisper-large-v1

license:mit

2,095

faster-distil-whisper-small.en

license:mit

1,604

faster-distil-whisper-large-v2

license:mit

594

Llama-3.1-8B-Instruct-ft-wmt25-classifier

NaNK

llama

EuroLLM-9B-cpt-ft-wmt25-en-ja

This is a sentence-based English-to-Japanese translation model fine-tuned from utter-project/EuroLLM-9B. pipeline = transformers.pipeline( "text-generation", model=modelid, modelkwargs={"torchdtype": torch.bfloat16}, devicemap="auto", ) messages = "Please translate the following English text into Japanese.\nInput: Hello World!\nOutput: " outputs = pipeline( messages, maxnewtokens=256, ) print(outputs[0]["generatedtext"][len(messages):].split("\n")[0])

NaNK

llama

EuroLLM-9B-sft-ft-wmt25-en-ja

This is another sentence-based English-to-Japanese translation model fine-tuned from utter-project/EuroLLM-9B. pipeline = transformers.pipeline( "text-generation", model=modelid, modelkwargs={"torchdtype": torch.bfloat16}, devicemap="auto", ) messages = "Please translate the following English text into Japanese.\nInput: Hello World!\nOutput: " outputs = pipeline( messages, maxnewtokens=256, ) print(outputs[0]["generatedtext"][len(messages):].split("\n")[0])

NaNK

llama