Instructions to use tweettemposhift/hate-hate_random2_seed2-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random2_seed2-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random2_seed2-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed2-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed2-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d17aa3d069d888b53fdd05493ad776892a41656c8f4da91ab5d4efe0e38db015
- Size of remote file:
- 1.42 GB
- SHA256:
- 601f0c81b37573e78cdb7ffe1cd660849b3ea5ec079295289f3d2e1b6e8e4931
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.