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:
- 0b21cc1cf667095a7c20712455bc37f41da24b56d6339935d048bb5ddcfca203
- Size of remote file:
- 310 MB
- SHA256:
- 14e5a38a6b34bf1a146584aa0069dfa5a8b3a277fd117a3f16419a9eb980a69b
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