Instructions to use tweettemposhift/topic-topic_random0_seed2-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random0_seed2-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random0_seed2-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random0_seed2-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random0_seed2-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91ed268325ae011a6fadfc5851909f8946134e91fda6bdd08c51f215a2f07cab
- Size of remote file:
- 4.08 kB
- SHA256:
- 2110359c63b0a1f404d353f7958387694d321b7418ee693317fc84e7808b4cd6
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