Translation
Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Yagofue/translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yagofue/translation 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="Yagofue/translation")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Yagofue/translation") model = AutoModelForSeq2SeqLM.from_pretrained("Yagofue/translation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfd2a38a0898f54a55b307177fde28560691195ff1b2f65b70624b84b7cd7e11
- Size of remote file:
- 5.84 kB
- SHA256:
- 33d98b8f5858c6d51108f139d78e393481c704a69c734cd92b8830bceb7aa91d
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