Instructions to use tweettemposhift/topic-topic_random3_seed0-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random3_seed0-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random3_seed0-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random3_seed0-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random3_seed0-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1278dc00b9a9266895ccfcf05487e9ab1a0ffc91cfcccee1a7fb93899c2a61f
- Size of remote file:
- 16.7 MB
- SHA256:
- 980aca09fcd4aa1045209cfa23ffcc724eb4255a03c4f99bebba4f2e7eb4dfff
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