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

  • Log In
  • Sign Up

AiLab-IMCS-UL
/
lv-deberta-base

Fill-Mask
Transformers
Safetensors
Latvian
deberta-v2
feature-extraction
latvian
encoder
deberta-v3
Model card Files Files and versions
xet
Community

Instructions to use AiLab-IMCS-UL/lv-deberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AiLab-IMCS-UL/lv-deberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="AiLab-IMCS-UL/lv-deberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("AiLab-IMCS-UL/lv-deberta-base")
    model = AutoModel.from_pretrained("AiLab-IMCS-UL/lv-deberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
lv-deberta-base
444 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
normundsg's picture
normundsg
Update README.md
dfeea47 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1.22 kB
    Update README.md about 1 month ago
  • config.json
    869 Bytes
    Upload folder using huggingface_hub about 2 months ago
  • model.safetensors
    443 MB
    xet
    Upload folder using huggingface_hub about 2 months ago
  • special_tokens_map.json
    743 Bytes
    Upload folder using huggingface_hub about 2 months ago
  • tokenizer.json
    970 kB
    Upload folder using huggingface_hub about 2 months ago
  • tokenizer_config.json
    18.8 kB
    Upload folder using huggingface_hub about 2 months ago