Translation
Transformers
PyTorch
Safetensors
English
German
mt5
text2text-generation
Trained with AutoTrain
Instructions to use jamm55/autotrain-pidgintranslation_-2795382481 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamm55/autotrain-pidgintranslation_-2795382481 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="jamm55/autotrain-pidgintranslation_-2795382481")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jamm55/autotrain-pidgintranslation_-2795382481") model = AutoModelForSeq2SeqLM.from_pretrained("jamm55/autotrain-pidgintranslation_-2795382481") - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- autotrain
- translation
language:
- en
- de
datasets:
- jamm55/autotrain-data-pidgintranslation_
co2_eq_emissions:
emissions: 62.58086434891094
Model Trained Using AutoTrain
- Problem type: Translation
- Model ID: 2795382481
- CO2 Emissions (in grams): 62.5809
Validation Metrics
- Loss: 1.647
- SacreBLEU: 15.789
- Gen len: 14.926