Instructions to use WindyTranslate/translate-sq-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sq-sv 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-sq-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sq-sv") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sq-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sq-sv, with attribution and change statement
3984e38 verified - Xet hash:
- 339fbefb12482fc79026d7bb2ba3758511971ce3b473a324fa182566c703c98b
- Size of remote file:
- 830 kB
- SHA256:
- 7026bab2afe5b76e9b1e4bb4477468020691de42f648a214523379dc02551bf1
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