Instructions to use supriyaraj47/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use supriyaraj47/dummy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="supriyaraj47/dummy")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("supriyaraj47/dummy") model = AutoModelForSequenceClassification.from_pretrained("supriyaraj47/dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from supriyaraj47/dummy: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/supriyaraj47/dummy/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://supriyaraj47/dummy/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/supriyaraj47/dummy/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- 1f9a50edac1dd7eb393d0156cc1378be19d4684ce38c12507decd1edad82ba95
- Size of remote file:
- 433 MB
- SHA256:
- 8345e64d4e9f983a98a964ef4ef9c0215ab5ef4a6b9bcf349a432be85a9f07f5
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