Instructions to use ShynBui/s10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s10 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/s10")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s10") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShynBui/s10: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ShynBui/s10/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s10/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s10/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- b81208f3f2a35fb1940cab77a0add80c31569fa38915a2783ee39703b9616e6d
- Size of remote file:
- 431 MB
- SHA256:
- 5964af0ed7d8535ed7fb150df9ecfa51400fb448b7a24d0ec80278e1bce60d11
路
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