Instructions to use tweettemposhift/hate-hate_random0_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_random0_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_random0_seed0-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed0-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed0-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f4e0d48a62f82d2a0b2b99aa65adb56404a67e66f6e7df2f5f9a0cc0c6e8026
- Size of remote file:
- 4.54 kB
- SHA256:
- 2fc05b213ad1c5bc21ae552f38d21e198f2e87a4f395fc519bf925d4d5817d89
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