Instructions to use ShynBui/s19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s19")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s19") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s19", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShynBui/s19: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/ShynBui/s19/resolve/main/training_args.bin
- Command line
-
hf download hf://ShynBui/s19/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShynBui/s19/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- cba3099a54954e9376ae63c913d108a9cbbf61fb48fadcc5e9f2ecc5635cb169
- Size of remote file:
- 3.96 kB
- SHA256:
- aa5e6a9b8e4b7ce00ec5b03ed65ce1a30ad0c984ae75b7d485fba85a9aa17982
路
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