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:
- d78acea2db75aebb9fc36456173d6c6096586ce26091f2fd75e960d251321b8d
- Size of remote file:
- 499 MB
- SHA256:
- 7592654799da5c2616c9dd18ff31f19c5f7bca111eb30fa6fc070d5d6def5e8e
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