Instructions to use junmeng-sf/distilbert-base-category-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use junmeng-sf/distilbert-base-category-classifier with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased") model = PeftModel.from_pretrained(base_model, "junmeng-sf/distilbert-base-category-classifier") - Transformers
How to use junmeng-sf/distilbert-base-category-classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("junmeng-sf/distilbert-base-category-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from junmeng-sf/distilbert-base-category-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/junmeng-sf/distilbert-base-category-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://junmeng-sf/distilbert-base-category-classifier/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/junmeng-sf/distilbert-base-category-classifier/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- e90a6e36b8ddce5e4b85ad7625de7d6da582ab0da98cebd88ac5ffb1d5d7d797
- Size of remote file:
- 5.78 kB
- SHA256:
- 0e4e099fc15fd887c95ad0a35b60b90329498a6e27afdab9a47b8e0ce6b3bc9d
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