Instructions to use tweettemposhift/hate-hate_random3_seed1-bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random3_seed1-bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random3_seed1-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed1-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed1-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f5e89a02a3e6dcced460e8dcbb9b07e8381e3986c6f9e90d2afc71c04edb81f
- Size of remote file:
- 4.54 kB
- SHA256:
- 6defdddf38be317d5c883dc35f22323686a0bf7e15ffb0555219765adc517115
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