Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use marcolatella/irony_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcolatella/irony_trained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marcolatella/irony_trained")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marcolatella/irony_trained") model = AutoModelForSequenceClassification.from_pretrained("marcolatella/irony_trained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from marcolatella/irony_trained: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/marcolatella/irony_trained/resolve/main/training_args.bin
- Command line
-
hf download hf://marcolatella/irony_trained/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/marcolatella/irony_trained/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- 083421c464f9706437bceb2787f7a80d91c55341704bc7773181389d250545a0
- Size of remote file:
- 2.93 kB
- SHA256:
- ef635f84cf6983a50f51103ebd99ad23605b89cb35ca8aec44a8e910c63c200a
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