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:
- b5dc8f494496c79a368d5c12cec3799953d193b4c4a898bdbf88f3460e113dad
- Size of remote file:
- 433 MB
- SHA256:
- 7db975dc9de0a70dd6c7e5a2f0afb1e839318bd72cc19ee478a9ad583124176d
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