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
File size: 134 Bytes
b431345 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5a2c5345dd65d30941667e314980b4bed2b233b14a83eb574a5c286d774b2d88
size 589598486
|