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TartarusXXX/
en-ur-marian-transformers

Name: en-ur-marian-transformers
Availability: InStock

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en-ur Marian model (Transformers)

Model summary

Direction: en -> ur
Architecture: Marian transformer
Format: Hugging Face Transformers
Primary converted checkpoint: best-bleu
Training dataset selection: NLLB CCMatrix CCAligned OpenSubtitles Tanzil XLEnt \
Validation set: openlanguagedata_flores_plus
Test set recipe: openlanguagedata_flores_plus

Best validation metrics seen in training logs

BLEU: 26.6596 at epoch 3 / update 152500
CHRF: 54.7017 at epoch 3 / update 170000
PERPLEXITY: 347.646 at epoch 1 / update 2500

Files

.gitattributes
config.json
generation_config.json
model.safetensors
source.spm
target.spm
tokenizer_config.json
vocab.json

Usage

python

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

repo_id = "YOUR_ORG/YOUR_MODEL"
tokenizer = AutoTokenizer.from_pretrained(repo_id)
model = AutoModelForSeq2SeqLM.from_pretrained(repo_id)

text = "Hello world!"
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.batch_decode(outputs, skip_special_tokens=True)[0])

Notes

This model was converted from Marian .npz weights using the official Hugging Face Marian conversion module.
Review dataset and license compatibility before redistributing the model publicly.

TartarusXXX/en-ur-marian-transformers

en-ur Marian model (Transformers)

Model summary

Best validation metrics seen in training logs

Files

Usage

Notes

TartarusXXX/
en-ur-marian-transformers