Instructions to use tweettemposhift/hate-hate_random3_seed1-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_seed1-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_seed1-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random3_seed1-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random3_seed1-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fda70f81af5b48ef08a387aa50b3c1169436ce28ec8f67cdf41910fafb3dd751
- Size of remote file:
- 540 MB
- SHA256:
- 74edfe5c73781c42902539f4f76efd1bd66579421ef998699ecccca63c2e9dc7
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