Token Classification
Transformers
Safetensors
English
bert
named-entity-recognition
ner
finance
financial-nlp
xbrl
sec-filings
finer-139
sec-bert
Eval Results (legacy)
Instructions to use shidey/secbert-finer139 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shidey/secbert-finer139 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="shidey/secbert-finer139")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("shidey/secbert-finer139") model = AutoModelForTokenClassification.from_pretrained("shidey/secbert-finer139", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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