Instructions to use ShynBui/s29 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s29 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/s29")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s29") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s29", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShynBui/s29: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/ShynBui/s29/resolve/main/training_args.bin
- Command line
-
hf download hf://ShynBui/s29/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShynBui/s29/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 322ebd6f7e612712952e2c7af0efc04e341a6d491dad4fecaf52afee6562f674
- Size of remote file:
- 3.96 kB
- SHA256:
- 3462af9c436ecfc3748fcb6961990a8512c6117a6043fa3590f4031bab73a21d
路
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