Instructions to use tweettemposhift/topic-topic_random2_seed0-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random2_seed0-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random2_seed0-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random2_seed0-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random2_seed0-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c57bd6dcc23b932d254ecb2340e7a25335dc88756cecf0fd92917b59119ea4f
- Size of remote file:
- 4.54 kB
- SHA256:
- 61acac01663416260ce3206cd396a9ecb6e629e47b5469f52ef7b60857cda5b4
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