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") - Notebooks
- Google Colab
- Kaggle
Inquiry Regarding Commercial Use of lilt-en-funsd Model
2
#4 opened over 2 years ago
by
Ifyouknowthenyouknow
Librarian Bot: Add base_model information to model
#3 opened almost 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot
Finetune on invoice reciepts images?
1
#1 opened over 3 years ago
by
TheStackingTower