Instructions to use Apucs/bn_model_821k_iter_loss_1_24-finetuned-mnli-mm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apucs/bn_model_821k_iter_loss_1_24-finetuned-mnli-mm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Apucs/bn_model_821k_iter_loss_1_24-finetuned-mnli-mm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Apucs/bn_model_821k_iter_loss_1_24-finetuned-mnli-mm") model = AutoModelForSequenceClassification.from_pretrained("Apucs/bn_model_821k_iter_loss_1_24-finetuned-mnli-mm", device_map="auto") - Notebooks
- Google Colab
- Kaggle