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:
- cc354d4f843fc870ae43ea24734e77e4ea724f464b3c6a153223fea3a6ac1eaa
- Size of remote file:
- 303 kB
- SHA256:
- 6bad19f1cc14b3c648482e8cb150426b416af454d46a4f80fc3b1d820a377b7a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.