Instructions to use bashyaldhiraj2067/text-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bashyaldhiraj2067/text-extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bashyaldhiraj2067/text-extraction")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bashyaldhiraj2067/text-extraction") model = AutoModelForTokenClassification.from_pretrained("bashyaldhiraj2067/text-extraction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e308d6a3c829e150a6beb05a1fb8c343a2fc716bc4c5a5b8f914575d046812af
- Size of remote file:
- 590 MB
- SHA256:
- 5a2c5345dd65d30941667e314980b4bed2b233b14a83eb574a5c286d774b2d88
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