Text Classification
Transformers
ONNX
English
roberta
text-classfication
int8
Intel® Neural Compressor
PostTrainingDynamic
Instructions to use Intel/roberta-base-mrpc-int8-dynamic-inc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/roberta-base-mrpc-int8-dynamic-inc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Intel/roberta-base-mrpc-int8-dynamic-inc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intel/roberta-base-mrpc-int8-dynamic-inc") model = AutoModelForSequenceClassification.from_pretrained("Intel/roberta-base-mrpc-int8-dynamic-inc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33fa548b904e6ad8d11f91fba874b3642a5bedd6709694bb67cef96bfa24e659
- Size of remote file:
- 127 MB
- SHA256:
- 4385f8989ef927321b1688a9994c5cb50b72ed4fe25ac256ea1be9ff497755ce
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