Instructions to use WindstormLabs/translate-fi-lua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-lua 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-fi-lua")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-lua", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 792a11891efb43d0ec3ac478032a742fecbeba850e4424bf248e815b154650bf
- Size of remote file:
- 304 MB
- SHA256:
- 82804b4003b01d99643eb6f2c6c064e4a2a522f4921d5bb22c19905941c94669
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.