Feature Extraction
Transformers
TensorFlow
English
roberta
code
tensorflow
LSTM
Sentiment analysis
text-embeddings-inference
Instructions to use perfectmind/sentiment_analysis_twitter_537K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use perfectmind/sentiment_analysis_twitter_537K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="perfectmind/sentiment_analysis_twitter_537K")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, TF_AutoModel tokenizer = AutoTokenizer.from_pretrained("perfectmind/sentiment_analysis_twitter_537K") model = TF_AutoModel.from_pretrained("perfectmind/sentiment_analysis_twitter_537K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer.json
Browse files- tokenizer.json +3 -0
tokenizer.json
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