Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ayatsuri/roberta-rmi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayatsuri/roberta-rmi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ayatsuri/roberta-rmi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ayatsuri/roberta-rmi") model = AutoModelForSequenceClassification.from_pretrained("ayatsuri/roberta-rmi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b183e489a051c007fa0fa995b0b77adb3a8013fe774521baa97e412c8e673acb
- Size of remote file:
- 5.2 kB
- SHA256:
- 40c5e15ea94c7955d6e1f893df13eefd1e7a0e5ec3503e9b380da1dab56da92f
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