Instructions to use tweettemposhift/hate-hate_random3_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_random3_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_random3_seed0-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed0-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed0-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44435038af0f305447135bd49ebf4fbe3841f74b03d17a2435e3be8d9896e5e1
- Size of remote file:
- 4.54 kB
- SHA256:
- 18e79eaf25fd6d2097a86976c83936969af3417cf878675b911f251fa227beef
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