Instructions to use WindyTranslate/translate-pl-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-pl-eo 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-eo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-pl-eo") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-pl-eo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-pl-eo, with attribution and change statement
90061f8 verified Download source.spm from WindyTranslate/translate-pl-eo: direct link, hf CLI and curl.
- Browser
- Download file 306 kB
-
https://huggingface.co/WindyTranslate/translate-pl-eo/resolve/main/source.spm
- Command line
-
hf download hf://WindyTranslate/translate-pl-eo/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyTranslate/translate-pl-eo/resolve/main/source.spm
306 kB
- Xet hash:
- 5cc1fcd1706828ea9f4047252ea4f61134236c13a97528a88dba22533160caa9
- Size of remote file:
- 306 kB
- SHA256:
- f4ff17737593bbe3f7bbd8ac449ba365207842124948585f4fb891fd0743b2bc
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