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:
- 7e44e273e6186d14221e3e27811bfb9c81912321d71169c68f93b134dc9b0895
- Size of remote file:
- 1.11 GB
- SHA256:
- a2da7df2dd38f1a5e0e7768cccbb4beea1db44f7b637c6e85e9421a808b84a99
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