Translation
Transformers
PyTorch
Safetensors
Korean
English
longt5
text2text-generation
Generated from Trainer
Instructions to use KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-ko2en 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-ko2en 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-ko2en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-ko2en") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-ko2en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
4277c71
1
Parent(s): 782da02
Upload LongT5ForConditionalGeneration
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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"_name_or_path": "downstream/long-ke-t5-base-
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"architectures": [
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"LongT5ForConditionalGeneration"
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"_name_or_path": "downstream/long-ke-t5-base-translation_test_2/translation_all/ko2en",
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"architectures": [
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pytorch_model.bin
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