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bdstar
/
FFT-google-gemma-3-1b-it

Text Classification
Transformers
Safetensors
English
gemma3_text
text-generation
text
generation
classfication
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use bdstar/FFT-google-gemma-3-1b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bdstar/FFT-google-gemma-3-1b-it with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="bdstar/FFT-google-gemma-3-1b-it")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("bdstar/FFT-google-gemma-3-1b-it")
    model = AutoModelForCausalLM.from_pretrained("bdstar/FFT-google-gemma-3-1b-it")
  • Notebooks
  • Google Colab
  • Kaggle
FFT-google-gemma-3-1b-it
4.04 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
bdstar's picture
bdstar
update readme file
7001558 verified 6 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 6 months ago
  • README.md
    270 Bytes
    update readme file 6 months ago
  • added_tokens.json
    35 Bytes
    Upload tokenizer 6 months ago
  • config.json
    893 Bytes
    Upload Gemma3ForCausalLM 6 months ago
  • generation_config.json
    210 Bytes
    Upload Gemma3ForCausalLM 6 months ago
  • model.safetensors
    4 GB
    xet
    Upload Gemma3ForCausalLM 6 months ago
  • special_tokens_map.json
    662 Bytes
    Upload tokenizer 6 months ago
  • tokenizer.json
    33.4 MB
    xet
    Upload tokenizer 6 months ago
  • tokenizer.model
    4.69 MB
    xet
    Upload tokenizer 6 months ago
  • tokenizer_config.json
    1.16 MB
    Upload tokenizer 6 months ago