Instructions to use WindyTranslate/translate-uk-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-uk-he 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-uk-he")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-uk-he") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-uk-he", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-uk-he, with attribution and change statement
0412361 verified - Xet hash:
- f14a8d7653965d4955e2d5d807e96fb80ea75f84bb17da98d5c1f71f570349e4
- Size of remote file:
- 1.04 MB
- SHA256:
- 643dd868cdc97ad4c25b9f011719bc155912d2a6b1b7f8a6f314e14701aa24be
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.