Instructions to use lujiashuai/marian-finetuned-kde4-en-to-zh-json with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lujiashuai/marian-finetuned-kde4-en-to-zh-json 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="lujiashuai/marian-finetuned-kde4-en-to-zh-json")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lujiashuai/marian-finetuned-kde4-en-to-zh-json") model = AutoModelForSeq2SeqLM.from_pretrained("lujiashuai/marian-finetuned-kde4-en-to-zh-json") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2cb7a7e9eace85fcd41a4f34949b528e9fb6088be6958aff2293c020a754737
- Size of remote file:
- 4.92 kB
- SHA256:
- 97f7862383e737b1d69e9aefef5c418c4ee631fa5b262ee47cca311c7e75bca3
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