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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Labels order for output
👍 1
#4 opened over 2 years ago
by
gulnuravci
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot
What does label 'macro' represent?
1
#2 opened about 3 years ago
by
JustinJia21
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot