Instructions to use tweettemposhift/hate-hate_random3_seed2-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random3_seed2-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random3_seed2-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed2-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed2-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10822feff173bed72437dd3a9fd136a7e7edb9d419ff2e7232f380e7a252dc04
- Size of remote file:
- 1.42 GB
- SHA256:
- a04e9aa784c8107e6ebf80940efc47a819eb3f1e3a5797dbe435772c25294d78
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