Instructions to use LeonKogler/trainedModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeonKogler/trainedModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LeonKogler/trainedModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LeonKogler/trainedModel") model = AutoModelForSequenceClassification.from_pretrained("LeonKogler/trainedModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +0 -0
- model.safetensors +2 -2
- training_args.bin +1 -1
config.json
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training_args.bin
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