Instructions to use atulksingh/intent-classification-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atulksingh/intent-classification-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="atulksingh/intent-classification-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("atulksingh/intent-classification-test") model = AutoModelForSequenceClassification.from_pretrained("atulksingh/intent-classification-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from atulksingh/intent-classification-test: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/atulksingh/intent-classification-test/resolve/main/training_args.bin
- Command line
-
hf download hf://atulksingh/intent-classification-test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/atulksingh/intent-classification-test/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- c8a2607875088e9a2833c453eff16e1f4d265d2d624ee591713fdbfd7d76f6b9
- Size of remote file:
- 5.18 kB
- SHA256:
- d0b882d86fb7b88533ad72887e70705be3cc832cc7029fbc3c980753fd5cd368
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