Instructions to use WindstormLabs/translate-bat-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-bat-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-bat-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-bat-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download lora/target.spm from WindstormLabs/translate-bat-en: direct link, hf CLI and curl.
- Browser
- Download file 803 kB
-
https://huggingface.co/WindstormLabs/translate-bat-en/resolve/main/lora/target.spm
- Command line
-
hf download hf://WindstormLabs/translate-bat-en/lora/target.spm
-
curl -L -o target.spm https://huggingface.co/WindstormLabs/translate-bat-en/resolve/main/lora/target.spm
803 kB
- Xet hash:
- 9d351841b89c886135703476bd9f3e18e3e76ca125968a04a9b8c81350fc26b7
- Size of remote file:
- 803 kB
- SHA256:
- a20aa4a61076ec9ac6aca7f3c22f8dc69ca4e826b9d4ebe39a29a809582d287d
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