Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use alk/roberta-large-mnli-finetuned-header-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alk/roberta-large-mnli-finetuned-header-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alk/roberta-large-mnli-finetuned-header-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alk/roberta-large-mnli-finetuned-header-classifier") model = AutoModelForSequenceClassification.from_pretrained("alk/roberta-large-mnli-finetuned-header-classifier") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
by
librarian-bot