Instructions to use Alireza1044/MobileBERT_Theseus-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza1044/MobileBERT_Theseus-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alireza1044/MobileBERT_Theseus-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alireza1044/MobileBERT_Theseus-mrpc") model = AutoModelForSequenceClassification.from_pretrained("Alireza1044/MobileBERT_Theseus-mrpc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d84f629763b9294c9c08fbf4b2c760f70b7d3aac40a5bd0e0cdabef96fac563b
- Size of remote file:
- 119 MB
- SHA256:
- e1b3136b542ad5c0ce4952be2801130d769363202036a346bd76f2edeb2ccf6f
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