Instructions to use ShynBui/s9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s9 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/s9")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s9") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShynBui/s9: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/ShynBui/s9/resolve/main/training_args.bin
- Command line
-
hf download hf://ShynBui/s9/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShynBui/s9/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- ced66d3ad89fe25f54f7b5fe6741876ed41da2ed03f102f890bc1e3a372c4f2b
- Size of remote file:
- 3.96 kB
- SHA256:
- fd005ea5f379ff7620226efca84fb23e98b8659a7d61519551a10e846830f279
路
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