Instructions to use tweettemposhift/topic-topic_random1_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_random1_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_random1_seed0-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random1_seed0-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random1_seed0-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de4215cccad385549ffe843f940567f707a25ded8e9c379d8f87741079a53a50
- Size of remote file:
- 4.54 kB
- SHA256:
- a5ef13298287dfea0422a7c9da39f51952d2cbf242f0a457892328828c08be67
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