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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01b3f445c43f3cc9a772a789122124151dd78aa1a41f692ffbb3af3111decc9b
- Size of remote file:
- 438 MB
- SHA256:
- ed3976a794d7e12b6806b6e5882c5188de31ca004caabd9fa9d52fb04506d4b5
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