Translation
Transformers
Safetensors
English
sit
marian
windyword
english
sino-tibetan
mandarin
cantonese
tibetan
burmese
Instructions to use WindstormLabs/translate-en-sit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-sit 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-en-sit")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-sit", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f65aef510cae3a5fa5d4a37152f3d102e424171aea9acc8d5898afbcdf4fd3d5
- Size of remote file:
- 773 kB
- SHA256:
- ce786dbc93c59591342ef416d2a17de543197a4bd72bfe60f61399cd7e093650
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