Instructions to use tweettemposhift/topic-topic_random0_seed0-roberta-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-roberta-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-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random0_seed0-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random0_seed0-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25a509e7400a30b6654d15c52c8eb977106cd0262c972b6d63b58b2033828800
- Size of remote file:
- 499 MB
- SHA256:
- 5d00ebf1206e0300ea4b87b1558f9342cf690bc4a372400d0728ac05d55e2488
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