Text Classification
Transformers
Keras
English
sentiment-analysis
tensorflow
huggingface
openai-embeddings
deep-learning
Instructions to use Srivardhan369/sentiment_analysis_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Srivardhan369/sentiment_analysis_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Srivardhan369/sentiment_analysis_model")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Srivardhan369/sentiment_analysis_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
datasets:
- stanfordnlp/sentiment140
language:
- en
metrics:
- accuracy
- f1
- precision
- recall
pipeline_tag: text-classification
library_name: transformers
tags:
- sentiment-analysis
- text-classification
- tensorflow
- huggingface
- openai-embeddings
- deep-learning