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Cheng98
/
llama-160m-mnli

Text Classification
Transformers
PyTorch
llama
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Cheng98/llama-160m-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Cheng98/llama-160m-mnli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Cheng98/llama-160m-mnli")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Cheng98/llama-160m-mnli")
    model = AutoModelForSequenceClassification.from_pretrained("Cheng98/llama-160m-mnli")
  • Notebooks
  • Google Colab
  • Kaggle
llama-160m-mnli
554 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Cheng98's picture
Cheng98
End of training
d96c0b8 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • .gitignore
    13 Bytes
    Model save about 2 years ago
  • README.md
    1.62 kB
    update model card README.md about 2 years ago
  • all_results.json
    408 Bytes
    End of training about 2 years ago
  • config.json
    843 Bytes
    Model save about 2 years ago
  • eval_results.json
    230 Bytes
    End of training about 2 years ago
  • pytorch_model.bin
    551 MB
    xet
    Model save about 2 years ago
  • special_tokens_map.json
    437 Bytes
    Model save about 2 years ago
  • tokenizer.json
    1.84 MB
    Model save about 2 years ago
  • tokenizer.model
    500 kB
    xet
    Model save about 2 years ago
  • tokenizer_config.json
    725 Bytes
    Model save about 2 years ago
  • train_results.json
    198 Bytes
    End of training about 2 years ago
  • trainer_state.json
    4.51 kB
    End of training about 2 years ago
  • training_args.bin

    Detected Pickle imports (8)

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

    How to fix it?

    4.16 kB
    xet
    Model save about 2 years ago