Instructions to use ShynBui/s17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s17 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s17")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s17") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShynBui/s17: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/ShynBui/s17/resolve/main/training_args.bin
- Command line
-
hf download hf://ShynBui/s17/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShynBui/s17/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- eada7094c3aedaaee08c6ae9e3a82910690048939d2a887a372caeb5fdf22312
- Size of remote file:
- 3.96 kB
- SHA256:
- d56636066010ff4831d47a4c8e7b566aa6eaeb60a973a47c38cf68ed180f69be
路
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