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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from wanyu/IteraTeR-ROBERTA-Intention-Classifier: direct link, hf CLI and curl.
- Browser
- Download file 899 kB
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https://huggingface.co/wanyu/IteraTeR-ROBERTA-Intention-Classifier/resolve/79eeea83eba8069a3282774bff3859c5723211e6/vocab.json
- Command line
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hf download hf://wanyu/IteraTeR-ROBERTA-Intention-Classifier@79eeea83eba8069a3282774bff3859c5723211e6/vocab.json
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curl -L -o vocab.json https://huggingface.co/wanyu/IteraTeR-ROBERTA-Intention-Classifier/resolve/79eeea83eba8069a3282774bff3859c5723211e6/vocab.json
899 kB
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