Instructions to use ShynBui/s9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s9 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/s9")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s9") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShynBui/s9: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ShynBui/s9/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s9/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s9/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- d56713e4d5d73a3ba1de2fbdfebafe06fe6515b0bb7ace868aab0030fe10aa8d
- Size of remote file:
- 431 MB
- SHA256:
- ba66acbaf481649e12085cf47309ee19d7bd7ce68312d22b1801f12f5c9a30e1
路
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