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akhil2808
/
EPICS-PROJECT

Text Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use akhil2808/EPICS-PROJECT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use akhil2808/EPICS-PROJECT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="akhil2808/EPICS-PROJECT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("akhil2808/EPICS-PROJECT")
    model = AutoModelForSequenceClassification.from_pretrained("akhil2808/EPICS-PROJECT")
  • Notebooks
  • Google Colab
  • Kaggle
EPICS-PROJECT
438 MB
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  • 1 contributor
History: 2 commits
akhil2808's picture
akhil2808
Upload 5 files
d949702 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • config.json
    678 Bytes
    Upload 5 files almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    438 MB
    xet
    Upload 5 files almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 5 files almost 3 years ago
  • tokenizer_config.json
    361 Bytes
    Upload 5 files almost 3 years ago
  • vocab.txt
    232 kB
    Upload 5 files almost 3 years ago