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

  • Log In
  • Sign Up

tner
/
bertweet-base-tweetner7-random

Token Classification
Transformers
PyTorch
roberta
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use tner/bertweet-base-tweetner7-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tner/bertweet-base-tweetner7-random with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="tner/bertweet-base-tweetner7-random")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tner/bertweet-base-tweetner7-random")
    model = AutoModelForTokenClassification.from_pretrained("tner/bertweet-base-tweetner7-random")
  • Notebooks
  • Google Colab
  • Kaggle
bertweet-base-tweetner7-random
539 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
asahi417's picture
asahi417
model update
13b0335 over 3 years ago
  • eval
    model update over 3 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    8.11 kB
    model update over 3 years ago
  • added_tokens.json
    17 Bytes
    add tokenizer almost 4 years ago
  • bpe.codes
    1.08 MB
    add tokenizer almost 4 years ago
  • config.json
    13.4 kB
    model update almost 4 years ago
  • pytorch_model.bin
    537 MB
    xet
    add model almost 4 years ago
  • special_tokens_map.json
    150 Bytes
    add tokenizer almost 4 years ago
  • tokenizer_config.json
    506 Bytes
    model update almost 4 years ago
  • trainer_config.json
    342 Bytes
    model update over 3 years ago
  • vocab.txt
    843 kB
    add tokenizer almost 4 years ago