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/csl_iso.dev from LionelLow/SignSparK_Retrieval: direct link, hf CLI and curl.
- Browser
- Download file 553 kB
-
https://huggingface.co/LionelLow/SignSparK_Retrieval/resolve/main/annotations/csl_iso.dev
- Command line
-
hf download hf://LionelLow/SignSparK_Retrieval/annotations/csl_iso.dev
-
curl -L -o csl_iso.dev https://huggingface.co/LionelLow/SignSparK_Retrieval/resolve/main/annotations/csl_iso.dev
553 kB
- Xet hash:
- 3bf7e99f235ccf24b6b1c261a5e675f439022ab33cfc0819d8ab8ad3c07d9b0a
- Size of remote file:
- 553 kB
- SHA256:
- 93ba7e1757ef83a65878c3371ec340099854bd87ea2c4046e327538db1378ec5
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