Instructions to use tweettemposhift/hate-hate_random0_seed2-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random0_seed2-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random0_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b9b2ece958b9dab72298e4c1c62328da0d7a310cb5248afdbd175ece3b7cd1c
- Size of remote file:
- 499 MB
- SHA256:
- a99f3fd68de588a6858c6bd2f1edda8ef6d716276cf9d2d7e10d8efb4d4e2903
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