Instructions to use WindstormLabs/translate-fi-ht with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-ht 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-ht")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-ht", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a264e87ba92ce443295e8e53337cb2cadee73c3d35143bef601ae5a65f99b15
- Size of remote file:
- 891 kB
- SHA256:
- ac3daeb9d4af42fbc78929d83aeebf9297e08c2147b7eb7570fc19a74f62f42c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.