Instructions to use benayas/roberta-finetuned-atis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benayas/roberta-finetuned-atis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="benayas/roberta-finetuned-atis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("benayas/roberta-finetuned-atis") model = AutoModelForSequenceClassification.from_pretrained("benayas/roberta-finetuned-atis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b97b389641628a8826bdf39bdb1de9bbfffd266d707f34fb424ebf4f8422cfe9
- Size of remote file:
- 499 MB
- SHA256:
- 316c5fc7338ee253e63b702c8f84b5a473e873ae99955461b446386d71a1c458
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