Instructions to use tweettemposhift/topic-topic_random2_seed2-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random2_seed2-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random2_seed2-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random2_seed2-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random2_seed2-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd3a74d75cb3fe8000d4438768f0b95bbb3eaddcfda4b3ee8bbe62cc45ab2595
- Size of remote file:
- 4.09 kB
- SHA256:
- 0d65d647807d6ae6cd524368c025327d77721f30fcf5b4e47ee4835d409535bf
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