Instructions to use ShynBui/s2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s2") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShynBui/s2: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/ShynBui/s2/resolve/main/training_args.bin
- Command line
-
hf download hf://ShynBui/s2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShynBui/s2/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 3ba4c0ed16bd93a0c455578880ea4b9f74b1b4bcfaf85f631396199dd6147422
- Size of remote file:
- 3.96 kB
- SHA256:
- 58bec8c5c213646760571b53010d9f7dbff1fdd600d2e5da1226d92faa57ea14
路
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