Instructions to use Kiriti-Ray/bert-finetuned-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kiriti-Ray/bert-finetuned-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kiriti-Ray/bert-finetuned-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kiriti-Ray/bert-finetuned-text-classification") model = AutoModelForSequenceClassification.from_pretrained("Kiriti-Ray/bert-finetuned-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
BERT fine-tuned for text classification
This repository contains a fine-tuned BERT checkpoint produced from the training notebook in this workspace.
Files
config.jsonmodel.safetensorsoptimizer.ptscheduler.pttrainer_state.json
Notes
This checkpoint is intended for experimentation and reuse in the Hugging Face ecosystem.
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