Instructions to use tweettemposhift/topic-topic_random0_seed0-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_seed0-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_seed0-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random0_seed0-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random0_seed0-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a9c77b49121a34a5afa42a02ff5283d1c69968675c7267cceb6c80045a11e14
- Size of remote file:
- 4.54 kB
- SHA256:
- 6b74fb5534ab35e7c30b1216333348cc9f42f9e266ebd6f5dfb7dd975af58457
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