Instructions to use favas/lilt-en-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use favas/lilt-en-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="favas/lilt-en-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("favas/lilt-en-funsd") model = AutoModelForTokenClassification.from_pretrained("favas/lilt-en-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 1678097425.5532725
- 1678097713.0207703
- 1678098769.355904
- 1678098950.921592
- 1678099812.4917657
- 1678100408.5637853
- 1678102185.649305
- 1678103273.7628014
- 1678430867.3792887
- 1678442444.5869288
- 5.58 kB xet
- 5.95 kB xet
- 592 Bytes xet
- 4.18 kB xet
- 5.92 kB xet
- 592 Bytes xet
- 5.92 kB xet
- 592 Bytes xet
- 5.92 kB xet
- 592 Bytes xet
- 5.92 kB xet
- 592 Bytes xet
- 11.5 kB xet
- 12.2 kB xet
- 5.93 kB xet
- 592 Bytes xet