Instructions to use sinanyuksel/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sinanyuksel/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sinanyuksel/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sinanyuksel/test") model = AutoModelForSequenceClassification.from_pretrained("sinanyuksel/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sinanyuksel/test: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/sinanyuksel/test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sinanyuksel/test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sinanyuksel/test/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- ae1ad1c58957c5a05ae9aa3d25f6572916cd6b5ef6de919848c4d889ef5f991d
- Size of remote file:
- 443 MB
- SHA256:
- 9d7fcdaed51b0b02106cf2fcfd5c70c8626537b2706d75eb9d3df151bd532573
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