Instructions to use tweettemposhift/hate-hate_random3_seed2-bertweet-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-bertweet-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-bertweet-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed2-bertweet-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed2-bertweet-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e34a85f163da617ef4b701cdd9c8214230396f184e4f7bb26e1dcab7aba074aa
- Size of remote file:
- 1.42 GB
- SHA256:
- 84268e663bb18053427b5bb7b156a8ae7428f1308c84ae5334a473ccbdf889de
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