Instructions to use Propofol/_finetuned-finetuned-localization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Propofol/_finetuned-finetuned-localization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Propofol/_finetuned-finetuned-localization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Propofol/_finetuned-finetuned-localization") model = AutoModelForSequenceClassification.from_pretrained("Propofol/_finetuned-finetuned-localization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21344caafa4d968860e09f114ea34adbcd0b3a5cf574f5ff892f32e5a8ac4b03
- Size of remote file:
- 3.96 kB
- SHA256:
- af16ba180179b02c0385408c0cf8d1295040025a6209425f6b8a7ecb0d47b20f
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