Instructions to use WindyTranslate/translate-nl-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-nl-sv 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-nl-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-nl-sv") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-nl-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-nl-sv, with attribution and change statement
dc6d180 verified - Xet hash:
- 04653a50d96a1fa86471047b0ceb6f061491cfbb63121406ee8714c13c7df538
- Size of remote file:
- 818 kB
- SHA256:
- 72b94ec90a2d4cb702685e5ee452154620adea7cf3350442b82aaecaa9767916
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.