Instructions to use wanyu/IteraTeR-ROBERTA-Intention-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wanyu/IteraTeR-ROBERTA-Intention-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wanyu/IteraTeR-ROBERTA-Intention-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wanyu/IteraTeR-ROBERTA-Intention-Classifier") model = AutoModelForSequenceClassification.from_pretrained("wanyu/IteraTeR-ROBERTA-Intention-Classifier") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
eb69101 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:39e767d321cd07f4120db52b75f942db409aabe0211bd876463e1cbd1f362f0f
size 1421511920
|