Instructions to use tweettemposhift/hate-hate_random2_seed2-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_seed2-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_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c90bcd497705f0ebb23ce59b21f86ce8b8bbe64e83a5e22da0fbc27096dd928
- Size of remote file:
- 4.54 kB
- SHA256:
- 0cddd3872bcb0f2c75dbdeb4d48c6b090b537d6086aa819ed77e763e6f5c34c3
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