Instructions to use tweettemposhift/topic-topic_random3_seed2-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random3_seed2-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random3_seed2-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random3_seed2-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random3_seed2-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f625ee599472921d77dfdb0814521eb1397b9d7e9c2c3f3944db26208434bb93
- Size of remote file:
- 1.42 GB
- SHA256:
- 846a732107a5c187749909ceddf6378cbceb537ec98b2521869c992afa064643
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