Instructions to use WindyTranslate/translate-sh-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sh-uk 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-sh-uk")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sh-uk") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sh-uk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sh-uk, with attribution and change statement
86247c0 verified - Xet hash:
- 293efbadd63c79a1f9f5c36821a5f2cdb68e2bdd644b107a934da8dd69235392
- Size of remote file:
- 835 kB
- SHA256:
- 8eda3dbcc09c4753729314c98eb8b81e02bf20780504597274061ab51ef102c6
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