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:
- cceeb2142e6430ac85dfa1125d1065679b38cd824f14c9242948bed32cef38b2
- Size of remote file:
- 4.08 kB
- SHA256:
- b59463f3316ba2c0c7e05ca8f3112f6802ae3cff4eef7d4e955dfb02fd2e98fa
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