Token Classification
Transformers
Safetensors
English
distilbert
document-understanding
procurement
india
gem
synthetic-data
Instructions to use HarshilDaGoat/gem-certificate-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HarshilDaGoat/gem-certificate-extractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HarshilDaGoat/gem-certificate-extractor")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HarshilDaGoat/gem-certificate-extractor") model = AutoModelForTokenClassification.from_pretrained("HarshilDaGoat/gem-certificate-extractor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from HarshilDaGoat/gem-certificate-extractor: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/HarshilDaGoat/gem-certificate-extractor/resolve/main/tokenizer.json
- Command line
-
hf download hf://HarshilDaGoat/gem-certificate-extractor/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/HarshilDaGoat/gem-certificate-extractor/resolve/main/tokenizer.json
669 kB
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