Instructions to use Propofol/checkpoint-10040-finetuned-localization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Propofol/checkpoint-10040-finetuned-localization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Propofol/checkpoint-10040-finetuned-localization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Propofol/checkpoint-10040-finetuned-localization") model = AutoModelForSequenceClassification.from_pretrained("Propofol/checkpoint-10040-finetuned-localization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b53b670bde8f0af0523a794f5f03bb41851904deb362d66ec8724c5920147f32
- Size of remote file:
- 3.96 kB
- SHA256:
- d39ada14d2c63825ad05504506b0e54e1f3be90cd4134bcd843f48857989d41c
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