Instructions to use pvbhanuteja/llmv3-base-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pvbhanuteja/llmv3-base-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pvbhanuteja/llmv3-base-funsd")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("pvbhanuteja/llmv3-base-funsd") model = AutoModelForTokenClassification.from_pretrained("pvbhanuteja/llmv3-base-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (70a80e0b6bfa43018fccfd93e4548d63f987bc39) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>39a722f
-
Upload LayoutLMv3ForTokenClassification
19ec947 -
initial commit
a3eb56d