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:
- d910fa9cc6ab64574e7d099878eb247263d09434949423f3ad7e187068bfe006
- Size of remote file:
- 4.54 kB
- SHA256:
- 963a448f8af7861bd94c2cd5ff4b2137fba9411e92defd613b20164e8f2082fc
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