Instructions to use WindstormLabs/translate-eo-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-eo-he 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-eo-he")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-eo-he", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download lora/source.spm from WindstormLabs/translate-eo-he: direct link, hf CLI and curl.
- Browser
- Download file 304 kB
-
https://huggingface.co/WindstormLabs/translate-eo-he/resolve/main/lora/source.spm
- Command line
-
hf download hf://WindstormLabs/translate-eo-he/lora/source.spm
-
curl -L -o source.spm https://huggingface.co/WindstormLabs/translate-eo-he/resolve/main/lora/source.spm
304 kB
- Xet hash:
- 0d6637f4c51bb0dc3d691d287108b3d03d2436fce7c63592571a5d24fb273c0e
- Size of remote file:
- 304 kB
- SHA256:
- 09e25c94dbef6ee753c241fb03a0be5421fa972c10c311f947d34b4d3fd74371
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