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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8184d9087bb428a632bcbef91da33fb7a2674be70ce64fd2c68693166ce62a40
- Size of remote file:
- 1.42 GB
- SHA256:
- 8becf827bc012c4287ab1b940141f648ee06f806256528f45f8a2d67ed3355f6
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