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pzelasko
/
longformer-swda-nolower

Token Classification
Transformers
PyTorch
Safetensors
longformer
Model card Files Files and versions
xet
Community
1

Instructions to use pzelasko/longformer-swda-nolower with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pzelasko/longformer-swda-nolower with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="pzelasko/longformer-swda-nolower")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pzelasko/longformer-swda-nolower")
    model = AutoModelForTokenClassification.from_pretrained("pzelasko/longformer-swda-nolower")
  • Notebooks
  • Google Colab
  • Kaggle
longformer-swda-nolower
1.19 GB
Ctrl+K
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  • 2 contributors
History: 3 commits
pzelasko's picture
pzelasko
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
191ae11 about 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • added_tokens.json
    17 Bytes
    Model upload over 4 years ago
  • config.json
    3.48 kB
    Model upload over 4 years ago
  • merges.txt
    456 kB
    Model upload over 4 years ago
  • model.safetensors
    592 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    593 MB
    xet
    Model upload over 4 years ago
  • special_tokens_map.json
    280 Bytes
    Model upload over 4 years ago
  • tokenizer.json
    2.11 MB
    Model upload over 4 years ago
  • tokenizer_config.json
    369 Bytes
    Model upload over 4 years ago
  • vocab.json
    798 kB
    Model upload over 4 years ago