Instructions to use tweettemposhift/hate-hate_balance_random3_seed2-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_balance_random3_seed2-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_balance_random3_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_balance_random3_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_balance_random3_seed2-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb9cedae11e6c262c63acc8de9bd324498f79172e249a72af46003b94386a994
- Size of remote file:
- 4.54 kB
- SHA256:
- 93d3ec7c4795e4399daa285fab485980a5b8db4d7438a1fa65d8afe2811d4419
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