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
marian-finetuned-kde4-en-to-zh-json / runs /Jan27_15-18-08_WIN-JNJEKRKF2FK /events.out.tfevents.1706339889.WIN-JNJEKRKF2FK.14176.0
- Xet hash:
- e8888575707f5c158943b3b3a37cabcb724a0ef887b677db0c160eccae7d7b3d
- Size of remote file:
- 5.43 kB
- SHA256:
- 61dc31d0dd54980b647131b61b25ba9bce9a1fec1b2a1e5ba9a9dd869325ced6
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