Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use aiface/roberta-large-mnli_nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiface/roberta-large-mnli_nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aiface/roberta-large-mnli_nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aiface/roberta-large-mnli_nli") model = AutoModelForSequenceClassification.from_pretrained("aiface/roberta-large-mnli_nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c75884f0a9f56774d2aa24b645efc56c801c024492598721a4900729926a0f9
- Size of remote file:
- 5.91 kB
- SHA256:
- 765c5170a5da78386950bf242d84ed74c68b9d823cf1db7489acfe25d8859aa6
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