Instructions to use tweettemposhift/hate-hate_random3_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_random3_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_random3_seed2-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed2-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed2-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5153026851a6c80172515f22d70e2c267bfc25441220eec290f2c103525e1ec5
- Size of remote file:
- 540 MB
- SHA256:
- 548ec1841f249346f1a96a52c4f66447c1d1dbe2625d380af4b4b5ec3e718bf7
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