Instructions to use tweettemposhift/hate-hate_random1_seed0-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random1_seed0-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random1_seed0-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random1_seed0-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random1_seed0-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41159c08e9238bc7d549cda92a1910b128ed3c3db11295bef8b386810f662ae7
- Size of remote file:
- 499 MB
- SHA256:
- ed057840c9c73d31171bbb78f7d5239e1c54794851204f8e12e0d78e271bef01
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.