Instructions to use ShynBui/s2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s2") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShynBui/s2: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ShynBui/s2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s2/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- fbbd5808d1e2613c43e44ea08fce493340e78a7dead9305bf2fe7ed82366b233
- Size of remote file:
- 431 MB
- SHA256:
- f3cd5b79c7fda4b21324348c4c9bda21077d01c1e01c217341fe55c9682b699c
路
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