Instructions to use ShynBui/s13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s13")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s13") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShynBui/s13: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ShynBui/s13/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s13/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s13/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- 8838fc81b6b83da17e11b8717e01fb37d6b85f76f89a222fb90a00471d723165
- Size of remote file:
- 431 MB
- SHA256:
- 09df79f438f768b89c66ce1c7d9b5226f7b90985f8008bdab40621784f20c368
路
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