Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
twitter-financial-topic-classification
financial
stocks
twitter
Eval Results (legacy)
text-embeddings-inference
Instructions to use nickmuchi/finbert-tone-finetuned-finance-topic-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nickmuchi/finbert-tone-finetuned-finance-topic-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nickmuchi/finbert-tone-finetuned-finance-topic-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nickmuchi/finbert-tone-finetuned-finance-topic-classification") model = AutoModelForSequenceClassification.from_pretrained("nickmuchi/finbert-tone-finetuned-finance-topic-classification") - Notebooks
- Google Colab
- Kaggle
What does label 'macro' represent?
#2
by JustinJia21 - opened
Hi, is there any information about the labels, i.e. how they are selected, why are they representative, what are the meanings, etc.?
Macro is for macroeconomic data.. try click on the dataset I used to train from Zeroshot.. it’s on my model page