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")# 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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cc4acb2ce46640abe2f39e08b4810fe9c8db5c2efa954a1ccabb352798433f75
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size 1186822168
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