Instructions to use WindyTranslate/translate-sv-ho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-ho 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-ho")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-ho") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-ho", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-ho, with attribution and change statement
bb85831 verified - Xet hash:
- df2d4b9e3f9e24d531e4f2950e715b8710e78cbc3df860d66026c8a949afe450
- Size of remote file:
- 853 kB
- SHA256:
- 94c86d34b722d5bb3763543b953729867bfbff97a6180c25b9f0ac5011fdcf70
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