Instructions to use WindyTranslate/translate-pl-no with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-pl-no 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-pl-no")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-pl-no") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-pl-no", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-pl-no, with attribution and change statement
6ecf156 verified Download source.spm from WindyTranslate/translate-pl-no: direct link, hf CLI and curl.
- Browser
- Download file 306 kB
-
https://huggingface.co/WindyTranslate/translate-pl-no/resolve/main/source.spm
- Command line
-
hf download hf://WindyTranslate/translate-pl-no/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyTranslate/translate-pl-no/resolve/main/source.spm
306 kB
- Xet hash:
- 238480d0e592eb858b04b8faf4b5c21f7eb8e0dc1d3bfdaa70ad32a8ab1d1587
- Size of remote file:
- 306 kB
- SHA256:
- be48503ab80d6ff70476e0ad340396a9fe428acfffec80ebc676fa4bf45a21e5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.