Instructions to use philschmid/lilt-en-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/lilt-en-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="philschmid/lilt-en-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("philschmid/lilt-en-funsd") model = AutoModelForTokenClassification.from_pretrained("philschmid/lilt-en-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a20f1a2e21276d049befd77135fec4b229d3820e6e9d6f929b96ee05e6e5309
- Size of remote file:
- 3.38 kB
- SHA256:
- 0dde78e492f16ebcaf56a6aee7fd2e6a06023b10ce395dc1866dbc6f622e5c9d
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