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rd211
/
SmolLM2-1.7B

Text Classification
Transformers
TensorBoard
Safetensors
llama
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use rd211/SmolLM2-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rd211/SmolLM2-1.7B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rd211/SmolLM2-1.7B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rd211/SmolLM2-1.7B")
    model = AutoModelForSequenceClassification.from_pretrained("rd211/SmolLM2-1.7B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SmolLM2-1.7B
3.43 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
rd211's picture
rd211
End of training
8f427e1 verified about 1 year ago
  • runs
    Training in progress, step 1516 about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.21 kB
    End of training about 1 year ago
  • added_tokens.json
    605 Bytes
    Training in progress, step 1516 about 1 year ago
  • config.json
    917 Bytes
    Training in progress, step 1516 about 1 year ago
  • merges.txt
    466 kB
    Training in progress, step 1516 about 1 year ago
  • model.safetensors
    3.42 GB
    xet
    Training in progress, step 1516 about 1 year ago
  • special_tokens_map.json
    863 Bytes
    Training in progress, step 1516 about 1 year ago
  • tokenizer.json
    3.52 MB
    Training in progress, step 1516 about 1 year ago
  • tokenizer_config.json
    3.72 kB
    Training in progress, step 1516 about 1 year ago
  • training_args.bin

    Detected Pickle imports (10)

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

    How to fix it?

    5.37 kB
    xet
    Training in progress, step 1516 about 1 year ago
  • vocab.json
    801 kB
    Training in progress, step 1516 about 1 year ago