Instructions to use WindyTranslate/translate-pl-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-pl-ar 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-ar")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-pl-ar") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-pl-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-pl-ar, with attribution and change statement
7c769cd verified Download source.spm from WindyTranslate/translate-pl-ar: direct link, hf CLI and curl.
- Browser
- Download file 814 kB
-
https://huggingface.co/WindyTranslate/translate-pl-ar/resolve/main/source.spm
- Command line
-
hf download hf://WindyTranslate/translate-pl-ar/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyTranslate/translate-pl-ar/resolve/main/source.spm
814 kB
- Xet hash:
- 6e1d19343ec78bd60f7f500a9ca0b439674121b2b5da414a72b6e647941d6f14
- Size of remote file:
- 814 kB
- SHA256:
- aa7414850c3196a1a2f4d07b4ce7e5bcfe39d56b82447e7e3a41e1c661979203
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