Instructions to use WindyTranslate/translate-sv-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-eo 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-eo")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-eo") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-eo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-sv-eo, with attribution and change statement
b0f3343 verified - Xet hash:
- da3863d6d0c06d91dae63d16d372795f34dbcb5caa01c959d834609c61055726
- Size of remote file:
- 304 kB
- SHA256:
- f606a155b8d12d17c98e7df1063303338a2e0331f3d2de60aa5c2313d4cf35f1
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