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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf918ae3ef477990268c78670291c5c5b62f67203bffd10a1c2205e369a2ce48
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size 589409168
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