Instructions to use ShynBui/s5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s5 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/s5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s5") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShynBui/s5: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ShynBui/s5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s5/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- a1818a78d690b02e2bb559a92fa36ab9135d7c7e9336b365ad4df5582a9834bd
- Size of remote file:
- 431 MB
- SHA256:
- 533fe930d3753c71fdb6b7036e049f74a8f3e5d71fd3a75a78440ed1757791a3
路
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