Instructions to use cardiffnlp/twitter-roberta-base-hate-multiclass-latest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base-hate-multiclass-latest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/twitter-roberta-base-hate-multiclass-latest")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-hate-multiclass-latest") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/twitter-roberta-base-hate-multiclass-latest", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cardiffnlp/twitter-roberta-base-hate-multiclass-latest: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/cardiffnlp/twitter-roberta-base-hate-multiclass-latest/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cardiffnlp/twitter-roberta-base-hate-multiclass-latest/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cardiffnlp/twitter-roberta-base-hate-multiclass-latest/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- de95070021cbe6b5fdf9abf1799f6a2d8d896473543d6da59f44bf085b9eb44c
- Size of remote file:
- 499 MB
- SHA256:
- 55e90580c914990a8c4ee0f09e9c9524449c4af2c0433f5220d7675b562bfc63
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