Text Classification
Transformers
Safetensors
Lao
bert
Generated from Trainer
lao-extractive-summarization
text-embeddings-inference
Instructions to use Jnjnpx/fine-tuned-bert-extractive-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jnjnpx/fine-tuned-bert-extractive-summarization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jnjnpx/fine-tuned-bert-extractive-summarization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jnjnpx/fine-tuned-bert-extractive-summarization") model = AutoModelForSequenceClassification.from_pretrained("Jnjnpx/fine-tuned-bert-extractive-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K