Instructions to use 96harsh56/upload_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 96harsh56/upload_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="96harsh56/upload_test")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("96harsh56/upload_test") model = AutoModelForQuestionAnswering.from_pretrained("96harsh56/upload_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e1a0995dd21a088085f79ccffe7068d9a471345d42865cd50f97b7545b78ef2
- Size of remote file:
- 265 MB
- SHA256:
- 93686b78b7b40fe13683f117c7cab1d17f594e61e27b34373318c63c46631543
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.