Instructions to use Taekyoon/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taekyoon/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Taekyoon/test_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Taekyoon/test_model") model = AutoModel.from_pretrained("Taekyoon/test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Taekyoon/test_model: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/Taekyoon/test_model/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Taekyoon/test_model@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Taekyoon/test_model/resolve/refs%2Fpr%2F1/pytorch_model.bin
443 MB
- Xet hash:
- f17377bcb23fd04e89951b76349e5c057dbdeb3b12b6fded1455306f194f8d72
- Size of remote file:
- 443 MB
- SHA256:
- 252e88547d14b423d2d5b45aa31e08379e3857a5855897a5f904615bdda6955e
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