Instructions to use WindyTranslate/translate-ro-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-ro-eo 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-ro-eo")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-ro-eo") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-ro-eo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-ro-eo, with attribution and change statement
544994c verified - Xet hash:
- 37c17e73e61c08e4918ea10aede185671c68f90b7da818262e7c9e341c957e1c
- Size of remote file:
- 303 kB
- SHA256:
- 8df7b32ddf717f785431fcf45d34054eebd1749f3e8236268140e020f16cd4fc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.