Instructions to use sudheer997/lambdaV3-FUNSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudheer997/lambdaV3-FUNSD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sudheer997/lambdaV3-FUNSD")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("sudheer997/lambdaV3-FUNSD") model = AutoModelForTokenClassification.from_pretrained("sudheer997/lambdaV3-FUNSD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sudheer997/lambdaV3-FUNSD: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/sudheer997/lambdaV3-FUNSD/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://sudheer997/lambdaV3-FUNSD@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sudheer997/lambdaV3-FUNSD/resolve/refs%2Fpr%2F1/pytorch_model.bin
501 MB
- Xet hash:
- 236016befd883c5f56c8b906dd2473942d8f1683aa6ce729b1a2207b3367fef0
- Size of remote file:
- 501 MB
- SHA256:
- 2f1dafc314fcb450b1e4cec2dcc219ce982c9cffb20f0e9ce105c238472ac8de
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