Instructions to use tweettemposhift/hate-hate_random1_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_random1_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_random1_seed2-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random1_seed2-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random1_seed2-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 452249f5b50883e97f1934d1dda571610a4e12ed72cd972eb2c1372797ff8120
- Size of remote file:
- 540 MB
- SHA256:
- 8dad07e71850efc7756bec8389a77c653e0019a09af33327fd588426b952526e
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