Instructions to use WindstormLabs/translate-fi-tw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-tw 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-tw")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-tw", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a727035d92f90e80408a13684a358bb1fac0da015e1b533d97dac37d83e1beb
- Size of remote file:
- 77.7 MB
- SHA256:
- 3b81404fba82b74ad736ec43d4d506387cc42511fdd88d2102cf94708fb23f39
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