Instructions to use tweettemposhift/hate-hate_random2_seed2-bertweet-base 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-base 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-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed2-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed2-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 554ffc8f560b2f719d83364131854e9021489b5040ae391df6efa90fd1393060
- Size of remote file:
- 540 MB
- SHA256:
- 8adef453488513fcca9df59b20b2fc64374c3cdf561cc45b992f5b4523eee7d9
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