Instructions to use WindstormLabs/translate-th-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-th-en 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-th-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-th-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e3526416c0f0c5f2c59e3a488d6892d712cf4e12f9aa02b98d189639e0f2743
- Size of remote file:
- 78.2 MB
- SHA256:
- 075a51307bba8ace2164aedcd6db187d118ac4103c3139627c3e59d5c747231c
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