Model Details
Full Model IDecharlaix/t5-small-openvino
Pipeline / Tasktranslation
Librarytransformers
Downloads (all-time)9.2K
Likes4
Last Modified1/3/2023
Author / Orgecharlaix
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("translation", model="echarlaix/t5-small-openvino")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformersopenvinot5text2text-generationsummarizationtranslationenfrrodedataset:c4arxiv:1910.10683license:apache-2.0endpoints_compatibleregion:us
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Open on Hugging Face →Browse Model Files ↗← Browse All Models🌐 Task: Translation
This model is designed for the Translation task. Explore more models for this use case.
All Translation Models →📊 Popularity
⬇ Downloads9.2K
❤️ Community Likes4
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.