Instructions to use asapp/sew-d-tiny-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asapp/sew-d-tiny-100k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="asapp/sew-d-tiny-100k")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("asapp/sew-d-tiny-100k") model = AutoModel.from_pretrained("asapp/sew-d-tiny-100k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from asapp/sew-d-tiny-100k: direct link, hf CLI and curl.
- Browser
- Download file 96.5 MB
-
https://huggingface.co/asapp/sew-d-tiny-100k/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://asapp/sew-d-tiny-100k/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/asapp/sew-d-tiny-100k/resolve/main/pytorch_model.bin
96.5 MB
- Xet hash:
- 019636f9df38d8be449f851f40a94322e9becd5d903a27e9ca9132627bb5ed60
- Size of remote file:
- 96.5 MB
- SHA256:
- 2b70465278ef7f6c9d62d1e4b34b64edb47678a65776deb5a7db2537b7e505ee
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