Instructions to use ShynBui/s7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s7 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/s7")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s7") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShynBui/s7: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ShynBui/s7/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s7/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s7/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- d14c5ce8b3ae43703eff0940082e54bb028678bd158d9de39148d86b1d3c4aa3
- Size of remote file:
- 431 MB
- SHA256:
- 1529622efb79af9dd78408e3d8d6899c4d5516aa31e07d7b2b1bca970afe6deb
路
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