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
- Xet hash:
- 8be17b5d692e1e694e487a476f943e8479a26ab32622dd1591ead4b8705faec3
- Size of remote file:
- 4.92 GB
- SHA256:
- 773cd67b3931938d7cf3aa466f100daa3304440b42f02fc705c627cfd684b2df
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