Instructions to use tweettemposhift/hate-hate_random3_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_random3_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_random3_seed2-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed2-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed2-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7b5905d3f1ef92289e830612a5fb5245c87661b4a5213ffff605086451cd6ee
- Size of remote file:
- 4.54 kB
- SHA256:
- 8174fe386f95b0b3f5492982ba6188a333dc791ca7ef5288a897349f548b5eac
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