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:
- d2463006daf180f9f9a7a0f120cc3e87dfa26516205004a12a82dc66ab88576f
- Size of remote file:
- 4.54 kB
- SHA256:
- a2fc9fdf713378a1be46b1512664131e5b98fd9a0736c0d2fb0be00dadc31915
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