Instructions to use WindyTranslate/translate-sq-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sq-es 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-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sq-es") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sq-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sq-es, with attribution and change statement
16d3246 verified - Xet hash:
- 40f85f943b9307bb4ae3a61505aae329190720c939884efc170f4870e40dcee9
- Size of remote file:
- 825 kB
- SHA256:
- 5b83535c80b834cba9cb38e020c2670b69cde15ac72dbfa8c48843acdb94187a
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