Text Classification
Transformers
Safetensors
PEFT
English
bert
sentiment-analysis
financial-nlp
lora
text-embeddings-inference
Instructions to use Hananguyen12/LAPEFT-Financial-Sentiment-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hananguyen12/LAPEFT-Financial-Sentiment-Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hananguyen12/LAPEFT-Financial-Sentiment-Analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hananguyen12/LAPEFT-Financial-Sentiment-Analysis") model = AutoModelForSequenceClassification.from_pretrained("Hananguyen12/LAPEFT-Financial-Sentiment-Analysis") - PEFT
How to use Hananguyen12/LAPEFT-Financial-Sentiment-Analysis with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle