Instructions to use tweettemposhift/topic-topic_random3_seed2-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random3_seed2-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random3_seed2-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random3_seed2-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random3_seed2-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6222ea664392f5ae9936c70fdab05b9ae27252723fcd811cffa96f5246f9928b
- Size of remote file:
- 4.09 kB
- SHA256:
- 11afbdd884cb1b586c8b2654796aca7ab6319860a4af13ff197fea3d108d2383
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