Instructions to use tweettemposhift/hate-hate_temporal-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_temporal-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_temporal-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_temporal-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_temporal-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28667edef3a2555afcc382798161b2332746b034cd56711d97db915d3f388e66
- Size of remote file:
- 1.42 GB
- SHA256:
- e3dd8d5936df4198bd5a02bcd8bd813d369188789026e2efc8e67e1084074ba0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.