Instructions to use WindyTranslate/translate-sv-ZH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-ZH 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="WindyTranslate/translate-sv-ZH")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-ZH") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-ZH", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-ZH, with attribution and change statement
54ee769 verified - Xet hash:
- 70a734d8da02b0676e09cf9238aa0191539cd3413ece700161b7a864945851c1
- Size of remote file:
- 801 kB
- SHA256:
- b5d2cd87731d58c048864935ec1be3fbca7d2392fdb66202f241bb21ee99fec9
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