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:
- 33d742fdf1f8810316f2b536d1e0d1f2f715f50953ac45c25877c951d55a2a71
- Size of remote file:
- 438 MB
- SHA256:
- a4c374636a2f347428f807f044b077e72ce41ff79b6a516d0c0f743da50cb60e
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