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sagui-nlp
/
debertinha-ptbr-xsmall-lenerbr

Token Classification
Transformers
PyTorch
Safetensors
Portuguese
deberta-v2
text-classification
Model card Files Files and versions
xet
Community
1

Instructions to use sagui-nlp/debertinha-ptbr-xsmall-lenerbr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sagui-nlp/debertinha-ptbr-xsmall-lenerbr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="sagui-nlp/debertinha-ptbr-xsmall-lenerbr")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sagui-nlp/debertinha-ptbr-xsmall-lenerbr")
    model = AutoModelForSequenceClassification.from_pretrained("sagui-nlp/debertinha-ptbr-xsmall-lenerbr", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
debertinha-ptbr-xsmall-lenerbr
331 MB
Ctrl+K
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  • 2 contributors
History: 15 commits
israelcamp's picture
israelcamp
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
df0807a verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    3.39 kB
    Update README.md almost 3 years ago
  • config.json
    1.58 kB
    Update config.json almost 3 years ago
  • model.safetensors
    164 MB
    xet
    Adding `safetensors` variant of this model (#1) about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    164 MB
    xet
    Upload DebertaV2ForSequenceClassification almost 3 years ago
  • special_tokens_map.json
    173 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    3.62 MB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    465 Bytes
    Upload tokenizer almost 3 years ago