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:
- 29240a6ba0ec2b8c9bd59d72015fa8c48db108ced358ee714b6522a2f69492a0
- Size of remote file:
- 3.45 kB
- SHA256:
- 610a610f01d34f61ab3821d69545d97ff17eac3996a699404288b566e7705c4d
路
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