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:
- bd4a37183df2df7e10aca16de71906b96cdb34120baabe8b98e6175da46afbea
- Size of remote file:
- 595 MB
- SHA256:
- f6bc872c55f5362bf4f9721e607a20af7254750fc5f5272b9a444694a9978c72
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