Instructions to use SriDoc/LiLT-SER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SriDoc/LiLT-SER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SriDoc/LiLT-SER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("SriDoc/LiLT-SER") model = AutoModelForTokenClassification.from_pretrained("SriDoc/LiLT-SER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0bc0127271060950f087dd3fb575bb4a2990ba79dfd33a767aa2930a3ba1681
- Size of remote file:
- 5.05 kB
- SHA256:
- 37f7159801ab0f46e26a7c1a3fff88b6ffb5501d92ddd3579d37bce6c7136332
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