Instructions to use tweettemposhift/topic-topic_temporal-bertweet-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_temporal-bertweet-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_temporal-bertweet-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_temporal-bertweet-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_temporal-bertweet-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b05282ea756aba8973f20534ed312b390f51a8bd1caa63e0b6787fe4c95ee47
- Size of remote file:
- 4.54 kB
- SHA256:
- 5242ee2dafa46ada4758b4efee371d48a777dd2b3693421601f443446282fa23
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