Instructions to use ShynBui/s13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s13")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s13") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c58ae56444ffb654791f180d8cc2e3e226399ad5dc99fc1edd026a355a807250
- Size of remote file:
- 431 MB
- SHA256:
- 81ef4ca48bb91d37f9f4ad344e4535c2a45c8cb499a00603fb5af9fde1baee89
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.