Instructions to use tweettemposhift/hate-hate_random2_seed0-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_seed0-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_seed0-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed0-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed0-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae292d8b634c0734f96c69d4e322d18deaf92f2578aa33a9804c2701b4689a0a
- Size of remote file:
- 1.42 GB
- SHA256:
- e538e23db31bca115a7cd765796b0b80ace7a47a945daefb55009e0e48ff32c3
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