Instructions to use tweettemposhift/hate-hate_random2_seed0-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random2_seed0-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random2_seed0-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed0-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed0-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d2b6422f14235d025603707d0f5f333bcaee54f6f848ebeb9f92557c77269df
- Size of remote file:
- 4.08 kB
- SHA256:
- 6243d0f0a49719e4e245523b1bb1fb526f8e1eebebeab8bd956aad62f9a51711
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