Instructions to use WindyTranslate/translate-pon-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-pon-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-pon-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-pon-es") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-pon-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-pon-es, with attribution and change statement
bacdb27 verified - Xet hash:
- b79b981aa038dab5ca8176d4edbc1c480d9c6def2218f18e906bd60288a3d1c3
- Size of remote file:
- 751 kB
- SHA256:
- 81adb0548d057b603ec34c29906cb6d8bfb4ad7040d29719e6fc4245d8bb2b40
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