Instructions to use tweettemposhift/hate-hate_random2_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_random2_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_random2_seed1-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed1-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed1-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11b8d5477ce75bfd3253571f91f1e0c16ba87033653a3bf2261fe0a8e252ae8d
- Size of remote file:
- 4.54 kB
- SHA256:
- 82bd7bd90ee5934d1a2a9b6408a65fd0bd74ef09c4532372e9ed8556d6ceb349
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