Instructions to use WindyTranslate/translate-nso-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-nso-de 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-nso-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-nso-de") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-nso-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-nso-de, with attribution and change statement
a452ba1 verified - Xet hash:
- d849389a8f5ef8a23bca4c48fc07daf1878f7d335fd4a4a756c0a0f0b53c9653
- Size of remote file:
- 824 kB
- SHA256:
- b49b97830a9db5b67ddb49ec99fd2ff32e70b22c8ebf50b93df50ee5901370a6
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