Instructions to use pachequinho/sentiment_bert_twitter_airlines_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pachequinho/sentiment_bert_twitter_airlines_10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pachequinho/sentiment_bert_twitter_airlines_10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pachequinho/sentiment_bert_twitter_airlines_10") model = AutoModelForSequenceClassification.from_pretrained("pachequinho/sentiment_bert_twitter_airlines_10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e625aef889e44ebdaa9b78ad79b4e5c674294e5273d5107ae135690a914bbc39
- Size of remote file:
- 4.09 kB
- SHA256:
- 9b0a4cb902bca129405300f1082b83a4e74d398719140a9df19415ef71c726ae
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