Instructions to use SeanCCC666/subsystem-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeanCCC666/subsystem-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SeanCCC666/subsystem-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SeanCCC666/subsystem-classifier") model = AutoModelForSequenceClassification.from_pretrained("SeanCCC666/subsystem-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 412bf568f03650cab3819a6599283fef18b6f33f50c9517b15a322b39e7fda97
- Size of remote file:
- 409 MB
- SHA256:
- 13fe7e520e44d3cb4894ab85f389b6d6a14846a08cdb628b896a5ea82509642e
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