Instructions to use tweettemposhift/hate-hate_random2_seed0-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_seed0-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_seed0-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed0-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed0-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e17912262c05ec01e7555f6b921f8b29d60cfbe2fe7065d6ba9fa82d91b757b6
- Size of remote file:
- 499 MB
- SHA256:
- 42325645bb95f186e085d702f0be1f8a4dd908cf5d582b0a5d58ad894435fd83
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