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:
- 061086c297a447439bafd5e3f0d5407767d32c358f5a90f7e27f5be0b4672522
- Size of remote file:
- 2.61 kB
- SHA256:
- 6bc30ee9a46e627693246aa5f5963c200aa9bc8ec1adf1061f9ebe32f77a41a8
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