Instructions to use WindyTranslate/translate-sv-ceb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-ceb 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-ceb")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-ceb") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-ceb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-ceb, with attribution and change statement
9f515e4 verified - Xet hash:
- 953c90785d97593987dd1d5842b69817d922a75552bb8582f95499204be3310d
- Size of remote file:
- 848 kB
- SHA256:
- 2049ed42eea62a8b864d8abccb7bf72d9e71173426b1adb74f45b4ce2b0ce63e
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