Instructions to use tweettemposhift/hate-hate_random3_seed0-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_seed0-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_seed0-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed0-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed0-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11bd201d4748f66f6a850308f5e0791fdd5c0b9b3c1fbd7f60f36da30c64a9cb
- Size of remote file:
- 540 MB
- SHA256:
- a139de07ece78ce1b7119a19648c9fb70559df18a2249b6594b63cc5ce094a3b
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