Instructions to use sactisudesa/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sactisudesa/test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sactisudesa/test1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sactisudesa/test1") model = AutoModel.from_pretrained("sactisudesa/test1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sactisudesa/test1: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/sactisudesa/test1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sactisudesa/test1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sactisudesa/test1/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- a6ca1d704396d3e4abf02f0bcb242e2c6dfe1bb94d3e386d6268cde4a6da6174
- Size of remote file:
- 499 MB
- SHA256:
- 48550785d3e950fc4cdd8a604c84bbd95caf6c153113cc3d769ad94fd5c72260
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