Instructions to use ModelTC/roberta-base-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/roberta-base-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModelTC/roberta-base-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ModelTC/roberta-base-mnli") model = AutoModelForSequenceClassification.from_pretrained("ModelTC/roberta-base-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b230ad137be05830a8959eccb38057acfca3a88120cc363d485c33a851c51373
- Size of remote file:
- 499 MB
- SHA256:
- 66c38290eb4e5e57d2e2529380f623f372d44196391343fa63632b717fbed2e4
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