Translation
Transformers
Safetensors
sem
English
marian
windyword
semitic
arabic
hebrew
maltese
amharic
english
Instructions to use WindstormLabs/translate-sem-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sem-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-sem-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sem-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3748843cc84565c3ee5ebad2e1b158b0460aa055b4c93f29c8718cb9b74df5d
- Size of remote file:
- 808 kB
- SHA256:
- c6f2282054ab0fe747aae98e8580754666eb7cb5f148f7a84bb5bcd01bcb39df
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