Instructions to use WindyTranslate/translate-yo-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-yo-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-yo-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-yo-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-yo-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-yo-en, with attribution and change statement
e49ec32 verified - Xet hash:
- 8a9eaa20ff93f3775c1215779bed67ebd536854bee4b9bf7d1be786b7e6e9549
- Size of remote file:
- 791 kB
- SHA256:
- 356cd32cac359b9cc7e0a3c31f53d95254378cbeec902700842e9377634b1352
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.