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:
- ca0d25d337b8c9285a4ca4edc4a36fb2adcff5a99c423878c24eedd82ce52d34
- Size of remote file:
- 499 MB
- SHA256:
- 807d8903ac1ecb420ff699ab8650a066a967250fee0d93b9fa19b2b09af367f9
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