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tanaos
/
tanaos-sentiment-analysis-v1

Text Classification
Transformers
Safetensors
multilingual
bert
sentiment-analysis
nlp
sentiment-classification
small-model
synthetic-data
tanaos
artifex
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use tanaos/tanaos-sentiment-analysis-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tanaos/tanaos-sentiment-analysis-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tanaos/tanaos-sentiment-analysis-v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tanaos/tanaos-sentiment-analysis-v1")
    model = AutoModelForSequenceClassification.from_pretrained("tanaos/tanaos-sentiment-analysis-v1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tanaos-sentiment-analysis-v1
493 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
rlucatoor's picture
rlucatoor
update README.md
12d9d5a 5 months ago
  • .gitattributes
    148 Bytes
    initial commit 10 months ago
  • README.md
    2.87 kB
    update README.md 5 months ago
  • config.json
    949 Bytes
    initial commit 10 months ago
  • model.safetensors
    471 MB
    xet
    initial commit 10 months ago
  • notebook.ipynb
    960 Bytes
    update README.md and notebook.ipynb 5 months ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    initial commit 10 months ago
  • special_tokens_map.json
    280 Bytes
    initial commit 10 months ago
  • tokenizer.json
    17.1 MB
    xet
    initial commit 10 months ago
  • tokenizer_config.json
    1.23 kB
    initial commit 10 months ago