Instructions to use ShynBui/s14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s14 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/s14")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s14") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShynBui/s14: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ShynBui/s14/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s14/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s14/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- d321d46ea24220cf3840d133cd983363637cbeeb2650b4a9f5b0c93295192011
- Size of remote file:
- 431 MB
- SHA256:
- 83c7e8c80cab2a0fa49e9ffcb3b775118de984fd173ae48980e928ed1c8afb36
路
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