Instructions to use kssteven/ibert-roberta-large-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kssteven/ibert-roberta-large-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kssteven/ibert-roberta-large-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kssteven/ibert-roberta-large-mnli") model = AutoModelForSequenceClassification.from_pretrained("kssteven/ibert-roberta-large-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94a260eed8ef0703d6122496faccc337bca7f158153d2f2c7e69492d8b9c8cf8
- Size of remote file:
- 1.43 GB
- SHA256:
- 3bab52e7fbb7a8a5c087c78bc85fa1fae5c4916c7dcf896f4ffff6a89d713457
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