Instructions to use tweettemposhift/topic-topic_random1_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_random1_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_random1_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random1_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random1_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38ab22c6e69d7783907df9deb3de29c9aa5a990cb283f883a2d57997ea691bb8
- Size of remote file:
- 4.54 kB
- SHA256:
- e4c501314557f744666dd01a54488379f0a86d73c336e59752dedc4e43bc6594
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