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Davidozito
/
full-finetuning-classification

Text Classification
Transformers
Safetensors
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Davidozito/full-finetuning-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Davidozito/full-finetuning-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Davidozito/full-finetuning-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Davidozito/full-finetuning-classification")
    model = AutoModelForSequenceClassification.from_pretrained("Davidozito/full-finetuning-classification")
  • Notebooks
  • Google Colab
  • Kaggle
full-finetuning-classification
1.13 GB
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  • 1 contributor
History: 3 commits
Davidozito's picture
Davidozito
Upload tokenizer
20d2f15 verified 11 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 11 months ago
  • README.md
    5.17 kB
    Upload XLMRobertaForSequenceClassification 11 months ago
  • config.json
    961 Bytes
    Upload XLMRobertaForSequenceClassification 11 months ago
  • model.safetensors
    1.11 GB
    xet
    Upload XLMRobertaForSequenceClassification 11 months ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload tokenizer 11 months ago
  • special_tokens_map.json
    964 Bytes
    Upload tokenizer 11 months ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer 11 months ago
  • tokenizer_config.json
    1.29 kB
    Upload tokenizer 11 months ago