Instructions to use tweettemposhift/topic-topic_random3_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_random3_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_random3_seed0-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random3_seed0-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random3_seed0-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24dce3f32d699d0684145821e4cd138af394cb7b5fac10807bc7ff78b7af7b85
- Size of remote file:
- 499 MB
- SHA256:
- 4aa1a399bc49235ffd0235244e8b4b24372eaf6058b266a0e25e6df6fe5fca69
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