Instructions to use renjithks/layoutlmv3-er-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use renjithks/layoutlmv3-er-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="renjithks/layoutlmv3-er-ner")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("renjithks/layoutlmv3-er-ner") model = AutoModelForTokenClassification.from_pretrained("renjithks/layoutlmv3-er-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfe0035613b14dfe5f5b99f25390b4e3ebb610da91e846f39401c4af4787d94d
- Size of remote file:
- 3.18 kB
- SHA256:
- b7e9b136116b5daa42a2ff65c258c82c37a3bd35c1e91444dfbd423910eb3040
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