Instructions to use ShynBui/s15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s15 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s15")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s15") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s15", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShynBui/s15: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ShynBui/s15/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s15/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s15/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- dd6aee99fc54de08077ff1166848dc593aef893b39b06007b8de53755eb06466
- Size of remote file:
- 431 MB
- SHA256:
- a06c8114e234b1cb62c46b2a59c3db11e1652abe24d1c4e1ed4fc3d6fad12a50
路
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