Instructions to use hyunwoongko/roberta-base-en-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyunwoongko/roberta-base-en-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hyunwoongko/roberta-base-en-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hyunwoongko/roberta-base-en-mnli") model = AutoModelForSequenceClassification.from_pretrained("hyunwoongko/roberta-base-en-mnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31f0122c778b32e1de1f4ed3cdd059e26e8c3d1cb54d319b58f1916922ff3755
- Size of remote file:
- 499 MB
- SHA256:
- fba2ecb52aaafb66eef2e04f64b467a3fce6f10c128425dc0ff0179dd9361bd6
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