Instructions to use WindyTranslate/translate-lt-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-lt-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-lt-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-lt-fr") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-lt-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
c97835f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:88151a7ba2f9e57a99e3344966d597395d57928f5f655efa0f4c7f013e2d20f4
size 831570
|