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:
- bcef63f33d9e418da926d46c1903e00d6177fa3d526978b897b99c4bb3646c64
- Size of remote file:
- 4.54 kB
- SHA256:
- 30f7c73c8a8416bcfa4b5cd9d740d306455917c26c1eaf611302b50d405c1ac0
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