Instructions to use WindyTranslate/translate-nl-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-nl-ca 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-ca")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-nl-ca") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-nl-ca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-nl-ca, with attribution and change statement
96218f0 verified Download source.spm from WindyTranslate/translate-nl-ca: direct link, hf CLI and curl.
- Browser
- Download file 449 kB
-
https://huggingface.co/WindyTranslate/translate-nl-ca/resolve/main/source.spm
- Command line
-
hf download hf://WindyTranslate/translate-nl-ca/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyTranslate/translate-nl-ca/resolve/main/source.spm
449 kB
- Xet hash:
- c2c66c67cfbedf28de073ebbf1f5e28b8333952307ba173876738c535b722a03
- Size of remote file:
- 449 kB
- SHA256:
- 43b38bf76081fe879198910efb891a9b75c5f9906c297c745d7c3c032ffd16bf
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