Instructions to use WindyWord/translate-tll-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tll-sv 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="WindyWord/translate-tll-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tll-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
13a42f6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:88f7b9720b48da7b43dcb73ef5fc96ebe6c5a488e01dad44434ac3dc115bdabb
size 827577
|