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jatin-tech
/
lamma2-4b-fine-tuned

Question Answering
Transformers
PyTorch
llama
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use jatin-tech/lamma2-4b-fine-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jatin-tech/lamma2-4b-fine-tuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="jatin-tech/lamma2-4b-fine-tuned")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("jatin-tech/lamma2-4b-fine-tuned")
    model = AutoModelForCausalLM.from_pretrained("jatin-tech/lamma2-4b-fine-tuned")
  • Notebooks
  • Google Colab
  • Kaggle
lamma2-4b-fine-tuned
7 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
jatin-tech's picture
jatin-tech
Update README.md
ab293e9 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.28 kB
    Update README.md almost 2 years ago
  • config.json
    646 Bytes
    Upload LlamaForCausalLM almost 2 years ago
  • generation_config.json
    111 Bytes
    Upload LlamaForCausalLM almost 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    7 GB
    xet
    Upload LlamaForCausalLM almost 2 years ago
  • special_tokens_map.json
    95 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    1.84 MB
    Upload tokenizer almost 2 years ago
  • tokenizer.model
    500 kB
    xet
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.47 kB
    Upload tokenizer almost 2 years ago