Text Classification
Transformers
PyTorch
ONNX
English
roberta
text-classfication
int8
Intel® Neural Compressor
neural-compressor
PostTrainingStatic
Eval Results (legacy)
text-embeddings-inference
Instructions to use INC4AI/roberta-base-mrpc-int8-static-inc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use INC4AI/roberta-base-mrpc-int8-static-inc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="INC4AI/roberta-base-mrpc-int8-static-inc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("INC4AI/roberta-base-mrpc-int8-static-inc") model = AutoModelForSequenceClassification.from_pretrained("INC4AI/roberta-base-mrpc-int8-static-inc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from INC4AI/roberta-base-mrpc-int8-static-inc: direct link, hf CLI and curl.
- Browser
- Download file 127 MB
-
https://huggingface.co/INC4AI/roberta-base-mrpc-int8-static-inc/resolve/6ba855c284ab5c429a7f7cd38d6169fe9c4ae08c/pytorch_model.bin
- Command line
-
hf download hf://INC4AI/roberta-base-mrpc-int8-static-inc@6ba855c284ab5c429a7f7cd38d6169fe9c4ae08c/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/INC4AI/roberta-base-mrpc-int8-static-inc/resolve/6ba855c284ab5c429a7f7cd38d6169fe9c4ae08c/pytorch_model.bin
127 MB
- Xet hash:
- 8fbadf9a20b7b65242096066c68de259a62e6ee3017f2e3b42786f81fea9c81d
- Size of remote file:
- 127 MB
- SHA256:
- 40946530ea1bb6a7889d32b0aed23e9f2ba0a407fe9e68f20ccaf6269a45ea19
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