Instructions to use tweettemposhift/hate-hate_temporal-bertweet-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_temporal-bertweet-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_temporal-bertweet-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_temporal-bertweet-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_temporal-bertweet-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 883b115f7419e02763c534b4e5dd118ddfac39bb55e7082cf3a77ddea11259e7
- Size of remote file:
- 1.42 GB
- SHA256:
- 4cb1e4303f163a6f7200a60d0f60ddb804cc6ec05c0d448681c78d12bb7ca548
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.