Instructions to use tweettemposhift/topic-topic_random0_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_random0_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_random0_seed0-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random0_seed0-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random0_seed0-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b86b1fcde34700851dd9e8ac287f5a5b904074655a4a662b3387ed78449aa39
- Size of remote file:
- 540 MB
- SHA256:
- 564b65bd7294ec2b369097791dbd5dffd9419d57ad8c123b4f9871911c67dcb6
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