Instructions to use Humaid-alblooshi/bert-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Humaid-alblooshi/bert-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Humaid-alblooshi/bert-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Humaid-alblooshi/bert-test") model = AutoModelForSequenceClassification.from_pretrained("Humaid-alblooshi/bert-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ad7907f6db2b8dea1142ec5dc58b451fb22d40c50fa53ac1894c2dc30cde1ac
- Size of remote file:
- 438 MB
- SHA256:
- a8182908e50cf040b808af8fe4474ced4e464af7e216d347427a0897f380bb15
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