Instructions to use WindstormLabs/translate-es-no with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-no 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="WindstormLabs/translate-es-no")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-no", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e6c1b1d55952d58f6aa7647893432fe650137396071152a6ad1b0ffce1389bc
- Size of remote file:
- 57.2 MB
- SHA256:
- 5eb9e41d6169d1791dff7ddba5fbe01dc220f834d1ec647e35e621f84d4cdf7b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.