Instructions to use Alireza1044/albert-base-v2-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza1044/albert-base-v2-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alireza1044/albert-base-v2-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alireza1044/albert-base-v2-mrpc") model = AutoModelForSequenceClassification.from_pretrained("Alireza1044/albert-base-v2-mrpc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 307af7c8c947d21cafd14108e45349ed8212e176080de530e26714bfc46d4a47
- Size of remote file:
- 2.61 kB
- SHA256:
- 12c3c0263264d6de9df02ed48cb951575b338159f63ee57de0c067eded15facf
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