Instructions to use WindyTranslate/translate-sem-sem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sem-sem 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-sem-sem")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sem-sem") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sem-sem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sem-sem, with attribution and change statement
28b371f verified - Xet hash:
- cf03240029a03fd61eb2f5428a93533ecd2403bdf72c979a97e7cea51504fd57
- Size of remote file:
- 852 kB
- SHA256:
- 8ddfce41c7baeea495bfc249e1b2f1ecf8570d751dc3d5154117c18cff9d7758
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