Instructions to use anaaulian19/ROS2-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anaaulian19/ROS2-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anaaulian19/ROS2-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anaaulian19/ROS2-text-classification") model = AutoModelForSequenceClassification.from_pretrained("anaaulian19/ROS2-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 972966b84827d25ff8f494015858da4ba5219af56cd1155df9f6aafb3bcd8003
- Size of remote file:
- 5.11 kB
- SHA256:
- f5f0aedc923b02f4b59175a52969e8d3b9185b5d1c7bd8fbdaec1df0165c02ca
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