Instructions to use ShynBui/s8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s8")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s8") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShynBui/s8: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ShynBui/s8/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s8/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s8/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- ffffee5b3f457b53621ad77dec922c73edae283c67bc4d5f85aa8d7248c19a7b
- Size of remote file:
- 431 MB
- SHA256:
- 7218c086d28cc0e25889f33e91d55249080e7acaead2262fca8ecc82b908fecd
路
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