Instructions to use ShynBui/s16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s16 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/s16")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s16") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShynBui/s16: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ShynBui/s16/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShynBui/s16/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShynBui/s16/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- a7e8412fe478583f4b3dd8c82cde7323793dcee227a4f5f73bb8c5ec1a776d0d
- Size of remote file:
- 431 MB
- SHA256:
- 6d0eb894dc952e0e985db9f5b9914b6d04fea076650437909efbbaa76fa5b408
路
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