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peyterho
/
macro-sentiment-finbert

Text Classification
Transformers
Joblib
Safetensors
bert
sentiment-analysis
finance
macroeconomics
climate
esg
policy
ensemble
dictionary
finbert
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use peyterho/macro-sentiment-finbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use peyterho/macro-sentiment-finbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="peyterho/macro-sentiment-finbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("peyterho/macro-sentiment-finbert")
    model = AutoModelForSequenceClassification.from_pretrained("peyterho/macro-sentiment-finbert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
macro-sentiment-finbert
56.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 24 commits
peyterho's picture
peyterho
Rewrite README: plain-language intro, simple vs advanced usage, clear 3-line quickstart
f385a4c verified 3 months ago
  • macro_sentiment
    Bump version to 0.2.0 (fine-tuned models)" 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    9.61 kB
    Rewrite README: plain-language intro, simple vs advanced usage, clear 3-line quickstart 3 months ago
  • eval_results.json
    1.26 kB
    Update eval_results.json with v0.2.0 fine-tuned model results 3 months ago
  • requirements.txt
    100 Bytes
    Update requirements 3 months ago