Instructions to use tweettemposhift/topic-topic_random2_seed1-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random2_seed1-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random2_seed1-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random2_seed1-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random2_seed1-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6550afe76cd503b97acb0a5a66855363a4c49abcab47e698ed0d9257c0c45dc1
- Size of remote file:
- 4.54 kB
- SHA256:
- 034e3a14509c88ac5dc6114ffb7c4bef91b6ff836b1bf0f325b712043b2a1818
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