Instructions to use korca/textfooler-roberta-base-mrpc-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use korca/textfooler-roberta-base-mrpc-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="korca/textfooler-roberta-base-mrpc-5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("korca/textfooler-roberta-base-mrpc-5") model = AutoModelForSequenceClassification.from_pretrained("korca/textfooler-roberta-base-mrpc-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from korca/textfooler-roberta-base-mrpc-5: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/korca/textfooler-roberta-base-mrpc-5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://korca/textfooler-roberta-base-mrpc-5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/korca/textfooler-roberta-base-mrpc-5/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 10cd55d429316aefa4c1f390da4809075eb3b00a2cff315b381aa2854e8f42a8
- Size of remote file:
- 499 MB
- SHA256:
- da0c3ab07aa6112ad7e451ffbaa4c4780cd44ad4e00458e7ab30d80838681db1
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