Instructions to use ShynBui/s8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s8")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s8") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShynBui/s8: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/ShynBui/s8/resolve/main/training_args.bin
- Command line
-
hf download hf://ShynBui/s8/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShynBui/s8/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- dd9510209a9f9b199dfe0a838d993074bcd4bc00956dd97dac63067d00b43e11
- Size of remote file:
- 3.96 kB
- SHA256:
- 4b3888ce37004bf0ce156f9d210beca4b6a0fde4631562e0a72d86febf8ce78c
路
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