Instructions to use tweettemposhift/hate-hate_random2_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_random2_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_random2_seed2-bertweet-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed2-bertweet-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed2-bertweet-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be61fae61f80e0f804006f6957dd404f6b14a0548897f6c30b13f1345856c632
- Size of remote file:
- 4.08 kB
- SHA256:
- 07e7f3c52178abdc653e711c2b86b8ae380ee3ca6fedd5d824bb4375ce6bc78f
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