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futuredatascience
/
welcome_video_model

Text Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use futuredatascience/welcome_video_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use futuredatascience/welcome_video_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="futuredatascience/welcome_video_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("futuredatascience/welcome_video_model")
    model = AutoModelForSequenceClassification.from_pretrained("futuredatascience/welcome_video_model")
  • Notebooks
  • Google Colab
  • Kaggle
welcome_video_model
1.34 GB
Ctrl+K
Ctrl+K
History: 2 commits
system's picture
system HF Staff
Commit From AutoTrain
a338825 almost 3 years ago
  • .gitattributes
    1.62 kB
    Commit From AutoTrain almost 3 years ago
  • README.md
    1.21 kB
    Commit From AutoTrain almost 3 years ago
  • config.json
    1.07 kB
    Commit From AutoTrain almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.33 GB
    xet
    Commit From AutoTrain almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Commit From AutoTrain almost 3 years ago
  • tokenizer.json
    669 kB
    xet
    Commit From AutoTrain almost 3 years ago
  • tokenizer_config.json
    315 Bytes
    Commit From AutoTrain almost 3 years ago
  • vocab.txt
    213 kB
    Commit From AutoTrain almost 3 years ago