Instructions to use tweettemposhift/topic-topic_random0_seed2-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_seed2-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_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random0_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random0_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a28960969a458f7fc050540ae94a06b97b9628d2262de280b368f2172559b068
- Size of remote file:
- 499 MB
- SHA256:
- 254cd95d75ac21df026daa30a3aef85e317b5438047bafd474b64ba520fdef42
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