Instructions to use tweettemposhift/hate-hate_random2_seed1-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random2_seed1-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random2_seed1-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed1-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed1-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97099172f501981e01785fe5dcc614959d5c2052332e41b00a8113a0fed058d8
- Size of remote file:
- 1.11 GB
- SHA256:
- ed90c6320c9611ca51823a957aa6f99f89abb67f2a5d0d2110f1a395da94a7ee
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