Instructions to use textattack/roberta-base-MRPC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/roberta-base-MRPC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/roberta-base-MRPC")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/roberta-base-MRPC") model = AutoModelForSequenceClassification.from_pretrained("textattack/roberta-base-MRPC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from textattack/roberta-base-MRPC: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/textattack/roberta-base-MRPC/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://textattack/roberta-base-MRPC/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/textattack/roberta-base-MRPC/resolve/main/pytorch_model.bin
501 MB
- Xet hash:
- a30127f94035d8566552ea9e97daf17f4be400dac87e22d625786a7f480b5207
- Size of remote file:
- 501 MB
- SHA256:
- 0e9788a56e4dca0672d1a7fbbacf3b5c5fd838c4ec07a44ac7ff0d0e898b4d3a
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