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 from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s17")# 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/main/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s17/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s17/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- 995277e0a22424a2eeaa957be0c7c2dd0593b53407919a3e28dba33bf8e7edc1
- Size of remote file:
- 431 MB
- SHA256:
- 01c9e21009acff6e4c1de900c3adef4185a967c42fad7b0307633c3373ae469e
路
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