Instructions to use Alireza1044/albert-base-v2-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza1044/albert-base-v2-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alireza1044/albert-base-v2-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alireza1044/albert-base-v2-mnli") model = AutoModelForSequenceClassification.from_pretrained("Alireza1044/albert-base-v2-mnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0deb6c4aaf515a61a31333a5acdec42158d316ca08f26d742611ee2e049688f
- Size of remote file:
- 46.8 MB
- SHA256:
- 3228d57b4e7e1da04cc582bf139060a5afe2fd5bc2e4dc1f415e1ab4ddcf7c9a
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