Instructions to use WindyWord/translate-af-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-af-ru 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="WindyWord/translate-af-ru")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-af-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download lora-ct2-int8/model.bin from WindyWord/translate-af-ru: direct link, hf CLI and curl.
- Browser
- Download file 78.4 MB
-
https://huggingface.co/WindyWord/translate-af-ru/resolve/main/lora-ct2-int8/model.bin
- Command line
-
hf download hf://WindyWord/translate-af-ru/lora-ct2-int8/model.bin
-
curl -L -o model.bin https://huggingface.co/WindyWord/translate-af-ru/resolve/main/lora-ct2-int8/model.bin
78.4 MB
- Xet hash:
- d5acaf2b1f58bcae817c1dfa33713f21728c50e8fa437097935c2633d0a3adcd
- Size of remote file:
- 78.4 MB
- SHA256:
- c21bab1e9c346511b02568caa9c5c7f8559d5c10421380b79632156146bae96e
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