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abdulhade
/
RoBERTa-large-SizeCorpus_1B

Feature Extraction
Transformers
Safetensors
Kurdish
roberta
fill-mask
Kurdish
text-classification
named-entity-recognition
Model card Files Files and versions
xet
Community

Instructions to use abdulhade/RoBERTa-large-SizeCorpus_1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use abdulhade/RoBERTa-large-SizeCorpus_1B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="abdulhade/RoBERTa-large-SizeCorpus_1B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("abdulhade/RoBERTa-large-SizeCorpus_1B")
    model = AutoModelForMaskedLM.from_pretrained("abdulhade/RoBERTa-large-SizeCorpus_1B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
RoBERTa-large-SizeCorpus_1B
335 MB
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  • 1 contributor
History: 15 commits
abdulhade's picture
abdulhade
Update README.md
ec2f884 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    3.48 kB
    Update README.md over 1 year ago
  • config.json
    717 Bytes
    Upload RobertaForMaskedLM almost 2 years ago
  • model.safetensors
    334 MB
    xet
    Upload RobertaForMaskedLM almost 2 years ago
  • sentencepiece.bpe.model
    1.46 MB
    xet
    Upload tokenizer almost 2 years ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.2 kB
    Upload tokenizer almost 2 years ago