Instructions to use ShynBui/s17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s17 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/s17")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s17") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShynBui/s17: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ShynBui/s17/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s17@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s17/resolve/refs%2Fpr%2F1/pytorch_model.bin
431 MB
- Xet hash:
- fec64b26b8bf7890a8f1856dc39645cfba5d67600e3bfee6fbc1410eb351292d
- Size of remote file:
- 431 MB
- SHA256:
- d2257658bfb25874c96900d0e95e45440f2c7f1a324d716aaf7891278ad998bf
路
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