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:
- ec800507a076f648748ec6ca6ea554891deb0b64560cf9695acc9a95601c66ca
- Size of remote file:
- 4.54 kB
- SHA256:
- 8fa61da1b0822f1c28a613743fb28e6ba42bcd933cbe4bcb35029523d77512e2
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