Instructions to use tweettemposhift/topic-topic_random2_seed2-bertweet-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random2_seed2-bertweet-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random2_seed2-bertweet-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random2_seed2-bertweet-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random2_seed2-bertweet-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 063632c26ae733651030f742e497eb3906052dd6a062ba833e8430aa6867e306
- Size of remote file:
- 1.42 GB
- SHA256:
- 722317ebfe692d59db16f484a0c2f0f1333f420588d4f600b4743ae94e04788a
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