Instructions to use WindyWord/translate-hil-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-hil-fi 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="WindyWord/translate-hil-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-hil-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e95ba2b39b68ee009ef8b466ee74c4339c6cc493ce1536f6dcd7086fa91519c
- Size of remote file:
- 77.5 MB
- SHA256:
- 45be063c821e9b3b69fcbeeec8a75c57d1278eba63bb9d80ad392950975da842
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