Instructions to use tweettemposhift/hate-hate_balance_random2_seed2-bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_balance_random2_seed2-bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_balance_random2_seed2-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_balance_random2_seed2-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_balance_random2_seed2-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d01be1dc775dfe18237585397521422dbac6a1ac16b1b0c7af19fb4ffc18f3c7
- Size of remote file:
- 4.54 kB
- SHA256:
- da56d3b7330bc28211b86ee19cd749b443c3fbbb28c129c49e7b83b249206895
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