Instructions to use romin23/lilt-form-read with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use romin23/lilt-form-read with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="romin23/lilt-form-read")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("romin23/lilt-form-read") model = AutoModelForTokenClassification.from_pretrained("romin23/lilt-form-read", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f59f9ebc6f3f96fc0bbae5133bc58513cf391dd348761662dc870b388a99b76
- Size of remote file:
- 3.45 kB
- SHA256:
- 1e2e7510e3ecf1c9323fe6b1900ff30d56fb815cddb8ae065c6fa6b4803196a5
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