Instructions to use WindyTranslate/translate-sv-sq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-sq 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-sq")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-sq") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-sq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-sv-sq, with attribution and change statement
7369142 verified - Xet hash:
- a185030ca4cfc450521ddffe990cc60c89beea12dc621c7fad3693ca05236159
- Size of remote file:
- 829 kB
- SHA256:
- 199eef292b84bb386874d3d04d0cc37b32e447170cce1757d652b8e06b426cef
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