Instructions to use Mizew/EN-RSK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mizew/EN-RSK with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Mizew/EN-RSK")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Mizew/EN-RSK") model = AutoModelForSeq2SeqLM.from_pretrained("Mizew/EN-RSK") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Translation
- Model ID: 1018434345
- CO2 Emissions (in grams): 19.740487511182447
Validation Metrics
- Loss: 0.9978321194648743
- SacreBLEU: 13.8459
- Gen len: 6.0588
Description
This is a model for the Pannonian Rusyn language, Albeit the data i trained it on also had a bit of Carpathian Rusyn in it, so don't expect the translator give out pure pannonian. and also it's not very good.
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