Instructions to use ShynBui/s25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s25 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/s25")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s25") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s25", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShynBui/s25: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/ShynBui/s25/resolve/main/training_args.bin
- Command line
-
hf download hf://ShynBui/s25/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShynBui/s25/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 3869c7a060441466ca7b06f50368f4f47d08ad23ee4504cf046a04c49f6f1c7f
- Size of remote file:
- 4.6 kB
- SHA256:
- 6f61b1945cfcc5e9ca91ef62de118a60fd0fb61ba767b2958acdb6c0266a340a
路
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