Instructions to use WindstormLabs/translate-kqn-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-kqn-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="WindstormLabs/translate-kqn-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-kqn-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32aff607e73eaa258a264c7968287914a8fdda015d36507edeb00fa9cb845641
- Size of remote file:
- 839 kB
- SHA256:
- 555792e1f728a010712e4c76d36d967277b572e990c6b40b531cd6a2c8074612
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.