Instructions to use WindyTranslate/translate-bg-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-bg-fr 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-bg-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-bg-fr") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-bg-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1db148634aae501c052b5e63e3cc642c678064da6658d99343bb15ae1f7f7704
- Size of remote file:
- 1.01 MB
- SHA256:
- d0234b35ba69c4f869623319be08054e5789f17b8f397fbe581be0fb351d5269
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.