Instructions to use tweettemposhift/hate-hate_random1_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_random1_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_random1_seed2-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random1_seed2-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random1_seed2-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bcd1bcda398644654884fb39e5e41b32ceb190927df1d4acd341b7a6301272d
- Size of remote file:
- 1.42 GB
- SHA256:
- c8fdc25135266ac4e89f74c5eedd2f0bd435a50754fa1806b9d97c28ee3c3e25
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