Instructions to use NPCProgrammer/BERT_tweet_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NPCProgrammer/BERT_tweet_tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NPCProgrammer/BERT_tweet_tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NPCProgrammer/BERT_tweet_tuned") model = AutoModelForSequenceClassification.from_pretrained("NPCProgrammer/BERT_tweet_tuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf1799e4cc5f9744587875aa5dc20d282655973cc76debb2fa0b920a3ee5209b
- Size of remote file:
- 438 MB
- SHA256:
- 7865470237cead46214183a3689a6c48874e27eea3c6be2477d3a9e50da12a0f
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