Layanwms12/bert-base-cased-test

Model Card: BERT Base Cased - Test

Model Details

• Model Name: bert-base-cased-test
• Architecture: BERT (base, cased)
• Task: Text Classification

Model Description

This model is based on the pretrained bert-base-cased model and was fine-tuned for text classification tasks.
It is uploaded as a test model for demonstration purposes.

Intended Use

• Educational and experimental purposes
• Suitable for text classification examples

Training Data

• Base model: bert-base-cased pretrained on English corpora
• Fine-tuning dataset: (Add details here if you used a dataset, otherwise mention "Not applicable")

How to Use

You can use this model with Hugging Face transformers:

from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("Layanwms12/bert-base-cased-test")
model = AutoModelForSequenceClassification.from_pretrained("Layanwms12/bert-base-cased-test")

inputs = tokenizer("Hello, Hugging Face!", return_tensors="pt")
outputs = model(**inputs)