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:
- 8007f305df1f6a1bba95b96b565a4ad36e1f5d704be98079734458b53cdaeb50
- Size of remote file:
- 540 MB
- SHA256:
- 8a317dfeccfd78db496c42a8c5909d7893d30364b1ab30358f506072f6f1a414
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