Instructions to use codeworkz/layoutlmv3-doclaynet-document-classification_1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codeworkz/layoutlmv3-doclaynet-document-classification_1k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codeworkz/layoutlmv3-doclaynet-document-classification_1k")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("codeworkz/layoutlmv3-doclaynet-document-classification_1k") model = AutoModelForSequenceClassification.from_pretrained("codeworkz/layoutlmv3-doclaynet-document-classification_1k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ee98506d814fbfccb55453d6cedb0bcdb9e3c911799022888552bd7bf19b630
- Size of remote file:
- 504 MB
- SHA256:
- 8f975f1c75d4255a0d6d07eb2a79ac8c7c92b0ad207a551b9b624f3557e457da
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