Instructions to use ShynBui/s22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s22 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/s22")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s22") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s22", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShynBui/s22: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/ShynBui/s22/resolve/main/training_args.bin
- Command line
-
hf download hf://ShynBui/s22/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShynBui/s22/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- f1009cfd77395fa27630795dfab4cfac90f129fccd87200e3e11b5b37cf2aa1a
- Size of remote file:
- 3.96 kB
- SHA256:
- 0f88fa6a61aef90acd5e12138b98cd894537c9ffa3c215d6849141415049cdd1
路
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