Instructions to use ShynBui/s28 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s28 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/s28")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s28") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s28", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShynBui/s28: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ShynBui/s28/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s28/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s28/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- 79e5f5213442ef65212abfaede1321d30ba474b807eafaeae79a8d17fec8c259
- Size of remote file:
- 431 MB
- SHA256:
- cdd44606bace9ae1bc1148f795cd06bac607eb78044a490e25b392d0f754d80c
路
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