Instructions to use tweettemposhift/hate-hate_random2_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_random2_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_random2_seed2-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed2-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed2-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6bed3aba082845d8753c1aad8766302ee11b6569792162da00c6d296061e581
- Size of remote file:
- 4.08 kB
- SHA256:
- 7789a76e913fe675e13ad1aeefb973b16d346e4fab2902c0baf544d9c19ba5a9
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