Instructions to use helliun/subsimulator-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/subsimulator-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="helliun/subsimulator-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("helliun/subsimulator-bert") model = AutoModelForSequenceClassification.from_pretrained("helliun/subsimulator-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7623a223cce3daad0a4022828e16ff6f60079425408ae979f8102b9cf7352d28
- Size of remote file:
- 438 MB
- SHA256:
- 24ee01b20454251165794c35599b6f7e25a00b58f75794372c26a2af917a2ff3
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