Instructions to use helixiora/distilbert-another-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helixiora/distilbert-another-classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, CustomDistilBertClassifier tokenizer = AutoTokenizer.from_pretrained("helixiora/distilbert-another-classifier") model = CustomDistilBertClassifier.from_pretrained("helixiora/distilbert-another-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from helixiora/distilbert-another-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/helixiora/distilbert-another-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://helixiora/distilbert-another-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/helixiora/distilbert-another-classifier/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 64461e60de8263ab0a290499ce59967f306a8b2e58a3afe4d5c8d95e17891780
- Size of remote file:
- 5.3 kB
- SHA256:
- 7ca6260af351c39ea1e60a29d92923e9b727973a9f67e9d13d7397bca2424ff6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.