Instructions to use swardiantara/drone-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swardiantara/drone-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="swardiantara/drone-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("swardiantara/drone-sentiment") model = AutoModelForSequenceClassification.from_pretrained("swardiantara/drone-sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f33b30be3f154b093510ee4a192df15c2f5fc16ea907b4e89baf859436cbd78c
- Size of remote file:
- 3.2 kB
- SHA256:
- 09404559a255e76adb99a3adebe4d4b996cfba185c33bfc777dfc6754a30757b
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