Instructions to use tweettemposhift/topic-topic_random2_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_random2_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_random2_seed0-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random2_seed0-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random2_seed0-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a564134ef402196eb03604c1de0530003526ac26a5f40f1fd360212d4900e421
- Size of remote file:
- 540 MB
- SHA256:
- d952d612ae0bec29b136c5d756de91a801a581507683ea412616a5c1ccc330ee
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