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")# 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 - Xet hash:
- 5cc1fcd1706828ea9f4047252ea4f61134236c13a97528a88dba22533160caa9
- Size of remote file:
- 306 kB
- SHA256:
- f4ff17737593bbe3f7bbd8ac449ba365207842124948585f4fb891fd0743b2bc
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