Instructions to use tweettemposhift/hate-hate_random2_seed2-bertweet-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random2_seed2-bertweet-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random2_seed2-bertweet-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed2-bertweet-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed2-bertweet-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f11bd8fcf1a109ff1c97b359d4a32999c05df49ad10175157052eb3ce74c5fe
- Size of remote file:
- 1.42 GB
- SHA256:
- 1b5188d0919fe845b5cbee6a9771369e76790963b1c1d39e21a70ebbcb16a2c6
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