Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

ALM-AHME
/
beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-60-20-20

Image Classification
Transformers
PyTorch
TensorBoard
beit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use ALM-AHME/beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-60-20-20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ALM-AHME/beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-60-20-20 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ALM-AHME/beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-60-20-20")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("ALM-AHME/beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-60-20-20")
    model = AutoModelForImageClassification.from_pretrained("ALM-AHME/beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-60-20-20", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-60-20-20
1.22 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
ALM-AHME's picture
ALM-AHME
End of training
2dc96a6 about 3 years ago
  • runs
    End of training about 3 years ago
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 0 about 3 years ago
  • README.md
    2.13 kB
    update model card README.md about 3 years ago
  • all_results.json
    383 Bytes
    End of training about 3 years ago
  • config.json
    1.37 kB
    Training in progress, epoch 0 about 3 years ago
  • eval_results.json
    193 Bytes
    End of training about 3 years ago
  • preprocessor_config.json
    440 Bytes
    Training in progress, epoch 0 about 3 years ago
  • pytorch_model.bin
    1.22 GB
    xet
    Training in progress, epoch 4 about 3 years ago
  • train_results.json
    211 Bytes
    End of training about 3 years ago
  • trainer_state.json
    18.4 kB
    End of training about 3 years ago
  • training_args.bin

    Detected Pickle imports (8)

    • "transformers.training_args.TrainingArguments",
    • "torch.device",
    • "transformers.training_args.OptimizerNames",
    • "transformers.trainer_utils.HubStrategy",
    • "accelerate.utils.dataclasses.DistributedType",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.trainer_utils.IntervalStrategy",
    • "accelerate.state.PartialState"

    How to fix it?

    4.09 kB
    xet
    Training in progress, epoch 0 about 3 years ago