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")# pip install -U transformers accelerate # 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.train from LionelLow/SignSparK_Retrieval: direct link, hf CLI and curl.
- Browser
- Download file 9.01 MB
-
https://huggingface.co/LionelLow/SignSparK_Retrieval/resolve/main/annotations/csl_iso.train
- Command line
-
hf download hf://LionelLow/SignSparK_Retrieval/annotations/csl_iso.train
-
curl -L -o csl_iso.train https://huggingface.co/LionelLow/SignSparK_Retrieval/resolve/main/annotations/csl_iso.train
9.01 MB
- Xet hash:
- 2d08196540fae1c67968384185f7acb05149ec9f687eeab314915054b54694eb
- Size of remote file:
- 9.01 MB
- SHA256:
- 92cabbe0fcc97770abd491802be00cb35883a2237cabb7f0c5de847845355f2c
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