Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Josh98/Twitter_sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Josh98/Twitter_sentiment_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Josh98/Twitter_sentiment_analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Josh98/Twitter_sentiment_analysis") model = AutoModelForSequenceClassification.from_pretrained("Josh98/Twitter_sentiment_analysis") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Mar11_00-18-56_7e44c955d6cf
- Mar11_00-27-13_7e44c955d6cf
- Mar11_00-59-15_7e44c955d6cf
- Mar11_01-03-56_7e44c955d6cf
- Mar11_01-08-42_7e44c955d6cf
- Mar11_01-26-24_7e44c955d6cf
- Mar11_01-32-59_7e44c955d6cf
- Mar12_23-20-11_9ab265873ffe
- Mar12_23-34-27_9ab265873ffe
- Mar12_23-39-24_9ab265873ffe
- Mar12_23-47-47_9ab265873ffe
- Mar12_23-52-11_9ab265873ffe
- Mar13_00-03-46_9ab265873ffe
- Mar14_23-07-59_53f8ae8863b7
- Mar14_23-27-34_53f8ae8863b7