Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

aghatage
/
lfm2-350m-marathi-optimized

Transformers
TensorBoard
Safetensors
Generated from Trainer
trl
sft
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use aghatage/lfm2-350m-marathi-optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aghatage/lfm2-350m-marathi-optimized with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("aghatage/lfm2-350m-marathi-optimized", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
lfm2-350m-marathi-optimized
7.46 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 69 commits
aghatage's picture
aghatage
Training in progress, step 16512, checkpoint
d80bf5e verified 7 months ago
  • last-checkpoint
    Training in progress, step 16512, checkpoint 7 months ago
  • ray_logs
    Training in progress, step 16512 7 months ago
  • runs
    Training in progress, step 16500 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    1.48 kB
    Training in progress, step 500 7 months ago
  • adapter_config.json
    927 Bytes
    Training in progress, step 500 7 months ago
  • adapter_model.safetensors
    12 MB
    xet
    Training in progress, step 16512 7 months ago
  • chat_template.jinja
    1.38 kB
    Training in progress, step 500 7 months ago
  • special_tokens_map.json
    434 Bytes
    Training in progress, step 500 7 months ago
  • tokenizer.json
    4.73 MB
    Training in progress, step 500 7 months ago
  • tokenizer_config.json
    91.6 kB
    Training in progress, step 500 7 months ago
  • training_args.bin
    8.21 kB
    xet
    Training in progress, step 500 7 months ago