Instructions to use tweettemposhift/nerd-nerd_random2_seed2-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/nerd-nerd_random2_seed2-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/nerd-nerd_random2_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/nerd-nerd_random2_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/nerd-nerd_random2_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84c177a2f5f6c859b36224b4d55186263f76d52ed19fa3ab66d932b22bfad14b
- Size of remote file:
- 499 MB
- SHA256:
- 9f039bb585611f8dd04eff8f52bcf064ecc00e0e29e8e4dd4aee755c883b45f1
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