Instructions to use prajwalJumde/22_Mar24_classification_layout3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajwalJumde/22_Mar24_classification_layout3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="prajwalJumde/22_Mar24_classification_layout3")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("prajwalJumde/22_Mar24_classification_layout3") model = AutoModelForSequenceClassification.from_pretrained("prajwalJumde/22_Mar24_classification_layout3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78ff3b0bc334ad50bfa052a276bdb0d858c2d7778d0a30430ff812b96845fd56
- Size of remote file:
- 504 MB
- SHA256:
- fff82417610a8d124f62bdba86e20988cac4208f85993fab9a99f84aef41cc12
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