Instructions to use WindyTranslate/translate-rw-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-rw-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-rw-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-rw-es") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-rw-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-rw-es, with attribution and change statement
eeb8de7 verified - Xet hash:
- d61c4d7ecd6c9cb0b44e85c0f2f879482b8ff5e3f8a6453a6222eb842048b8d1
- Size of remote file:
- 816 kB
- SHA256:
- 0361b13de131908a9eb70f59eb78bfbf9adeb07dd48aea9188f110a1056dda03
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