Instructions to use rashid0784/dladies_hack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rashid0784/dladies_hack with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rashid0784/dladies_hack")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rashid0784/dladies_hack") model = AutoModelForSequenceClassification.from_pretrained("rashid0784/dladies_hack", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rashid0784/dladies_hack: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/rashid0784/dladies_hack/resolve/main/training_args.bin
- Command line
-
hf download hf://rashid0784/dladies_hack/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rashid0784/dladies_hack/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- fbf3833ed5a97a52679c2b02eb13e5c83f32283db31452683f768f46d34ee982
- Size of remote file:
- 4.54 kB
- SHA256:
- 5b5f377c22a49384b1283c6a40daf0868b7bc8fb83a374ff61976f6399d76612
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