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
| 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 |