Instructions to use ShynBui/s28 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s28 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/s28")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s28") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s28", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShynBui/s28: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/ShynBui/s28/resolve/main/training_args.bin
- Command line
-
hf download hf://ShynBui/s28/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShynBui/s28/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 15b2a38d0fd6b6a83654971a2a8342c59c3d48fa34cf12be9c8e9b088892c873
- Size of remote file:
- 3.96 kB
- SHA256:
- 294dd51cd174e5d7e4c9e98b872b520d9ac31bb5911c6180ccf7262465c21f9d
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.