Instructions to use ShynBui/s16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s16 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/s16")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s16") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShynBui/s16: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/ShynBui/s16/resolve/main/training_args.bin
- Command line
-
hf download hf://ShynBui/s16/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShynBui/s16/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- fe544534f82a033a753e5caa89b6e6da2ad57d756898231a3faaf157bcebd131
- Size of remote file:
- 3.96 kB
- SHA256:
- 0c0642a86033f33f5f5699d2c0eadd44d86caa4caa81ade9768dc8a7a67e42cf
路
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