Instructions to use tweettemposhift/hate-hate_random2_seed0-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random2_seed0-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random2_seed0-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed0-bernice") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed0-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbb9102d8d8e5ecd273a414ac683a1454be5f2293b80741075450a3784fc0df8
- Size of remote file:
- 1.11 GB
- SHA256:
- cf9bfeb1f0831eaa519f139c422027624123fbe2f9967a38fe1d5a0e155ecf7f
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