Instructions to use reevan/test_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reevan/test_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reevan/test_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("reevan/test_bert") model = AutoModelForSequenceClassification.from_pretrained("reevan/test_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e78c326be243a6bc06286998eb1957357034cf294badab77e3b08efc598dfbdd
- Size of remote file:
- 438 MB
- SHA256:
- c3ba6433f1ada6c1061c0730cff9a1f9fd40292ae622068dc776bc23082d3335
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