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:
- 956b9d6b3cfe2bc1ff8c1d4c4fd58e6a4131a1e248980663894bc3938b81af02
- Size of remote file:
- 595 MB
- SHA256:
- 7ce3c511c0cd920d4b67809880c6b8c656cda7c4a5a88dfcdd3150caace7006f
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