Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use nfliu/roberta-large_boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nfliu/roberta-large_boolq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nfliu/roberta-large_boolq")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nfliu/roberta-large_boolq") model = AutoModelForSequenceClassification.from_pretrained("nfliu/roberta-large_boolq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bb2c0b86b5c4a79b2c348a946cc36e09172c387db0feb786fb8806eecbb7aba
- Size of remote file:
- 4.03 kB
- SHA256:
- 9aca10815af7e46c4a610a3e3428197efb61930d9724f8705ea0adbb1a35c189
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