Text Classification
Transformers
PyTorch
TensorBoard
ONNX
English
bert
financial-sentiment-analysis
sentiment-analysis
sentence_50agree
Generated from Trainer
sentiment
finance
Eval Results (legacy)
text-embeddings-inference
Instructions to use nickmuchi/sec-bert-finetuned-finance-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nickmuchi/sec-bert-finetuned-finance-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nickmuchi/sec-bert-finetuned-finance-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nickmuchi/sec-bert-finetuned-finance-classification") model = AutoModelForSequenceClassification.from_pretrained("nickmuchi/sec-bert-finetuned-finance-classification") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#5 opened over 2 years ago
by
librarian-bot
Enquiry about the labels
1
#4 opened almost 3 years ago
by
JustinJia21
Adding `safetensors` variant of this model
#3 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot