Instructions to use jsm33/irony-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jsm33/irony-classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaForSequenceClassificationWithSentiment tokenizer = AutoTokenizer.from_pretrained("jsm33/irony-classifier") model = RobertaForSequenceClassificationWithSentiment.from_pretrained("jsm33/irony-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jsm33/irony-classifier: direct link, hf CLI and curl.
- Browser
- Download file 540 MB
-
https://huggingface.co/jsm33/irony-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jsm33/irony-classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jsm33/irony-classifier/resolve/main/pytorch_model.bin
540 MB
- Xet hash:
- 01dff15dda14ee199b57362381e08b35e6b08b9dc25c10ffcf8f0ba4f834723c
- Size of remote file:
- 540 MB
- SHA256:
- 16d6cbcbbaa7bc5cf9845a6dd9aff36dccadb63e199404e7f2e8872d7e183eb1
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