Instructions to use abdullah-jokergames/distilbert-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdullah-jokergames/distilbert-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abdullah-jokergames/distilbert-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abdullah-jokergames/distilbert-classification") model = AutoModelForSequenceClassification.from_pretrained("abdullah-jokergames/distilbert-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from abdullah-jokergames/distilbert-classification: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/abdullah-jokergames/distilbert-classification/resolve/main/training_args.bin
- Command line
-
hf download hf://abdullah-jokergames/distilbert-classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/abdullah-jokergames/distilbert-classification/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- e29322ca23ce7e3dd38e8a04f6455e5e9b99c48cb5983319e47df0d58ad420aa
- Size of remote file:
- 5.11 kB
- SHA256:
- 3e5ac2c1ece3620a2db477e33e1760b9522e2f9ee59e3e4b77e19a0e6154b297
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