Instructions to use WindyTranslate/translate-sv-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-nl 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-nl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-nl") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-nl, with attribution and change statement
53b1d40 verified - Xet hash:
- 149b838f49dc126cd26ca1477299d8f65ce8927b61db9a930ce4c58897e3b5c8
- Size of remote file:
- 826 kB
- SHA256:
- fe2973953af53c8b29c9a8d718405eaa7aed8f37156db7451be1a3e6032a23d0
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