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
add model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:687a4f1bbdbb05208f15425e185830847334a2fd44c817164fb2ee36b6d024e5
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size 1421620013
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