Translation
Transformers
Safetensors
German
Chinese
sign-language
sign-language-production
text-to-gloss
retrieval
Instructions to use LionelLow/SignSparK_Retrieval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LionelLow/SignSparK_Retrieval 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="LionelLow/SignSparK_Retrieval")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LionelLow/SignSparK_Retrieval", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download annotations/phoenix_iso.dev from LionelLow/SignSparK_Retrieval: direct link, hf CLI and curl.
- Browser
- Download file 401 kB
-
https://huggingface.co/LionelLow/SignSparK_Retrieval/resolve/main/annotations/phoenix_iso.dev
- Command line
-
hf download hf://LionelLow/SignSparK_Retrieval/annotations/phoenix_iso.dev
-
curl -L -o phoenix_iso.dev https://huggingface.co/LionelLow/SignSparK_Retrieval/resolve/main/annotations/phoenix_iso.dev
401 kB
- Xet hash:
- acff63f0f8aff5e4333e61f665b78a66a71367c3399fcd27791e6ab5dc73075b
- Size of remote file:
- 401 kB
- SHA256:
- ab3337ee076659f930384ce5fa212d9aa4a0d56e0b2d94d1a07e6ff7009cda9c
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