Instructions to use tweettemposhift/topic-topic_random2_seed0-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random2_seed0-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random2_seed0-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random2_seed0-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random2_seed0-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0128a82dad237f7a21dc95718257bb0f735b7e6701e33ce8af4316c00bc9366b
- Size of remote file:
- 1.11 GB
- SHA256:
- c168fd2639e96d33117f2325941184cce7faa65723dc43b492fe901a32180583
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