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bradmin
/
rm_trl

Text Classification
Transformers
PyTorch
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use bradmin/rm_trl with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="bradmin/rm_trl")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("bradmin/rm_trl")
    model = AutoModelForSequenceClassification.from_pretrained("bradmin/rm_trl")
  • Notebooks
  • Google Colab
  • Kaggle
rm_trl
444 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
42f0b4a verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    843 Bytes
    Upload 2 files over 2 years ago
  • model.safetensors
    221 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.BFloat16Storage",
    • "collections.OrderedDict"

    What is a pickle import?

    221 MB
    xet
    Upload 2 files over 2 years ago
  • tokenizer.json
    752 kB
    Upload 3 files over 2 years ago
  • tokenizer_config.json
    375 Bytes
    Upload 3 files over 2 years ago
  • vocab.txt
    248 kB
    Upload 3 files over 2 years ago