Text Classification
Transformers
Safetensors
English
modernbert
insurance
document-classification
uk-insurance
bytical
Eval Results (legacy)
text-embeddings-inference
Instructions to use piyushptiwari/InsureDocClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use piyushptiwari/InsureDocClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="piyushptiwari/InsureDocClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("piyushptiwari/InsureDocClassifier") model = AutoModelForSequenceClassification.from_pretrained("piyushptiwari/InsureDocClassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 544bc988450353bc307598ee347f25681cfd6107db66e58fe7d8d0f3fc1e4549
- Size of remote file:
- 5.2 kB
- SHA256:
- 423060dee252df138963ecb244faa459785db6625463e3cfd003ee85e874b7bc
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