Instructions to use tweettemposhift/hate-hate_random2_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_random2_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_random2_seed1-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed1-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed1-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4883bb4de382e7252c07e497017236ee2362f618f1c9118c4340c7b1eac42708
- Size of remote file:
- 4.54 kB
- SHA256:
- ccb0aea80e8cc8af1cad85cf86f51d614a6658a424fe995ca030727d23a3b360
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