Instructions to use ShynBui/s22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s22 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/s22")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s22") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s22", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShynBui/s22: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ShynBui/s22/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s22/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s22/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- b10c7b51b0415dd2cdcc539f6c97afdc858999a751d01437425d02da264392b6
- Size of remote file:
- 431 MB
- SHA256:
- e0f35829a6b7ea39aefb11cd673b31b8da580b94784e33c89ff88b68e9a88906
路
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