Instructions to use WindyTranslate/translate-sq-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sq-en 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-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sq-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sq-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sq-en, with attribution and change statement
b1428da verified - Xet hash:
- ba814f93c1364e95ea869a11805cc4d4182102cc0563317d1258d5910000bcce
- Size of remote file:
- 822 kB
- SHA256:
- 29201051e0ad91662f3e203238c8fc6bfa0ae28d15cac14c20ab206626233252
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