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:
- d94c7cd2736275deb7624e55307a153a4c1bdf6829ce164b376898b3ca953f0f
- Size of remote file:
- 3.58 kB
- SHA256:
- c6764867376813500ee7a8e4e53bd9ceea7bd2f830896a72cca76ef626547015
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