Instructions to use tweettemposhift/hate-hate_random2_seed1-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_seed1-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_seed1-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed1-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed1-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da37de5df41901671f4963a189d76bced3fd9c09c955cc443885d87c770c0899
- Size of remote file:
- 1.42 GB
- SHA256:
- e9a9422bc02678dab2cae16114709fbb94f997bfed2bdf189c44d8d257d5a6ae
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