Instructions to use tweettemposhift/topic-topic_random3_seed0-bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random3_seed0-bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random3_seed0-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random3_seed0-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random3_seed0-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 248ac20e7527a2a5d850c73ffc84dbb495e7dcce2cd697755e43a8f864473759
- Size of remote file:
- 4.54 kB
- SHA256:
- e3c93cd747ee8c9db40a6331ab5ad85d73880b51c4d2f41b2ff7ff1532354a52
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