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:
- 63fba7f33c195aa998172de3168dc45be4c57a2de5b6ef497d1ad2295e65d396
- Size of remote file:
- 3.06 kB
- SHA256:
- a51c098b47fe2117aef110b71a7ecb77736e72d964cc410589c219bcf8daef75
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