Instructions to use tweettemposhift/hate-hate_temporal-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_temporal-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_temporal-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_temporal-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_temporal-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db1650b886e5e547e7bfa87921acdf4a4634d3c1c8a531ec9bd8707855111526
- Size of remote file:
- 4.08 kB
- SHA256:
- 7a64be3f3cc534ea69e8c96076b20dae4009387dfa38c9b450b5fb69b270f958
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