Translation
Transformers
Safetensors
afa
English
marian
windyword
afro-asiatic
arabic
hebrew
amharic
berber
english
Instructions to use WindyWord/translate-afa-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-afa-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="WindyWord/translate-afa-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-afa-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download lora-ct2-int8/model.bin from WindyWord/translate-afa-en: direct link, hf CLI and curl.
- Browser
- Download file 77.6 MB
-
https://huggingface.co/WindyWord/translate-afa-en/resolve/main/lora-ct2-int8/model.bin
- Command line
-
hf download hf://WindyWord/translate-afa-en/lora-ct2-int8/model.bin
-
curl -L -o model.bin https://huggingface.co/WindyWord/translate-afa-en/resolve/main/lora-ct2-int8/model.bin
77.6 MB
- Xet hash:
- 77b4d7cf1a1a3c86ed1f6f6708b42e5082b45f43d28d1635014139980f902ad0
- Size of remote file:
- 77.6 MB
- SHA256:
- 3c8987c3a5b2b77c5661817db0ad1ff4cf0445e513bf8f31b1d7ec432ac73f29
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