Instructions to use KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-bidirection_e1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-bidirection_e1 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="KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-bidirection_e1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-bidirection_e1") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-bidirection_e1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
8f6ad79
1
Parent(s): 5cc1a85
Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (8316aec04696890fa98af23bec70f0913567cc9f)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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license: apache-2.0
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widget:
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모델 및 머신 러닝 기능을 포함한 AI 모델을 학습시키고, 조정해, 조직 전체에서 활용하기 위한 전 과정을 아우르는 기술과 서비스를
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제공한다.
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example_title: KO2EN 1
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AI 모델을 정교하게 조정할 수 있다. 대규모로 활용하기 위한 도구 세트, 기술, 인프라 및 전문 컨설팅 서비스를 활용할 수 있다.
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example_title: KO2EN 2
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information to passengers about crowd density at each subway station.
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example_title: EN2KO 1
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passengers and crowd levels in subway compartments, improving operational
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efficiency.
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example_title: EN2KO 2
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language:
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pipeline_tag: translation
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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language:
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- ko
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- en
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license: apache-2.0
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widget:
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- text: 'translate_ko2en: IBM 왓슨X는 AI 및 데이터 플랫폼이다. 신뢰할 수 있는 데이터, 속도, 거버넌스를 갖고 파운데이션
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모델 및 머신 러닝 기능을 포함한 AI 모델을 학습시키고, 조정해, 조직 전체에서 활용하기 위한 전 과정을 아우르는 기술과 서비스를 제공한다.'
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example_title: KO2EN 1
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- text: 'translate_ko2en: 이용자는 신뢰할 수 있고 개방된 환경에서 자신의 데이터에 대해 자체적인 AI를 구축하거나, 시장에 출시된
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AI 모델을 정교하게 조정할 수 있다. 대규모로 활용하기 위한 도구 세트, 기술, 인프라 및 전문 컨설팅 서비스를 활용할 수 있다.'
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example_title: KO2EN 2
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- text: 'translate_en2ko: The Seoul Metropolitan Government said Wednesday that it
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would develop an AI-based congestion monitoring system to provide better information
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to passengers about crowd density at each subway station.'
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example_title: EN2KO 1
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- text: 'translate_en2ko: According to Seoul Metro, the operator of the subway service
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in Seoul, the new service will help analyze the real-time flow of passengers and
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crowd levels in subway compartments, improving operational efficiency.'
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example_title: EN2KO 2
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pipeline_tag: translation
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base_model: KETI-AIR/long-ke-t5-base
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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