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:
- 82e3d3173cd63194a53a983fc317375f2d963ff6aca22125db6e9bea75d3375a
- Size of remote file:
- 1.42 GB
- SHA256:
- 26f0c7c4a1a3a91897a9c8dd4a72c29106bce84740b78b564548cef96d54a2c5
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