Instructions to use sevensevenqq/repo_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sevensevenqq/repo_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sevensevenqq/repo_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sevensevenqq/repo_test") model = AutoModel.from_pretrained("sevensevenqq/repo_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sevensevenqq/repo_test: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/sevensevenqq/repo_test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sevensevenqq/repo_test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sevensevenqq/repo_test/resolve/main/pytorch_model.bin
492 MB
- Xet hash:
- 9dfceff19a742748419950024205c47b7896c0fa3b4a51b67637d0730563335f
- Size of remote file:
- 492 MB
- SHA256:
- 85b1cdab965a91b59d1796ba7f9b9bcc16bf8578e227aee040cd243f5bf88538
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