Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use joonion/ynat-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joonion/ynat-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joonion/ynat-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joonion/ynat-classifier") model = AutoModelForSequenceClassification.from_pretrained("joonion/ynat-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from joonion/ynat-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.14 kB
-
https://huggingface.co/joonion/ynat-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://joonion/ynat-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/joonion/ynat-classifier/resolve/main/training_args.bin
5.14 kB
- Xet hash:
- 04c439d467e289693014584b08dbf6741facac8b722eaf85025812f645ae4ceb
- Size of remote file:
- 5.14 kB
- SHA256:
- f6712ce46b8862c6a0625bc0bd2a3103c864f195455b9a01f47a739eabd7e1c9
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