Instructions to use sactisudesa/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sactisudesa/test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sactisudesa/test2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sactisudesa/test2") model = AutoModel.from_pretrained("sactisudesa/test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sactisudesa/test2: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/sactisudesa/test2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sactisudesa/test2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sactisudesa/test2/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- dd522461f7633d530fd052512de5b4dd40b4010a29cfe229bee88253aeb57f76
- Size of remote file:
- 499 MB
- SHA256:
- 141d057e75d11bccff015d559cdc9b5d0cc0763b2f50b7e11a03fab4728a12ce
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