Instructions to use tweettemposhift/hate-hate_random1_seed1-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random1_seed1-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random1_seed1-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random1_seed1-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random1_seed1-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3622bd88151a6e57cae33058dff25a3c8a35a2e53aae90a017d2e6657e00de8c
- Size of remote file:
- 4.54 kB
- SHA256:
- c06d5119c15f0f0fa50d654781a4c01085312992b60ffa8fe40f83798e2ca828
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