Instructions to use renjithks/layoutlmv1-er-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use renjithks/layoutlmv1-er-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="renjithks/layoutlmv1-er-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("renjithks/layoutlmv1-er-ner") model = AutoModelForTokenClassification.from_pretrained("renjithks/layoutlmv1-er-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 413cd5266225b4fae35be6480b1b897643cbb4f2426ae8a80b54f0cd84fa7cb6
- Size of remote file:
- 451 MB
- SHA256:
- 8155fe6baf569d9cdc414bc5faaa302a76e6e17a25eab32ccc588ec77f847414
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