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 pytorch_model.bin from marcolatella/irony_trained: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/marcolatella/irony_trained/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://marcolatella/irony_trained/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/marcolatella/irony_trained/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- b0fae8a4b289ea29b6372e8d7f03852c7e43139ffcefc109ea996e667060f0e8
- Size of remote file:
- 268 MB
- SHA256:
- ecafa58f4a3ee3ebfaed3df22b373c41af589a0e298983a48998b1d7a298ff23
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