Instructions to use sanchit-gandhi/tiny-random-bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanchit-gandhi/tiny-random-bart with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sanchit-gandhi/tiny-random-bart")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sanchit-gandhi/tiny-random-bart") model = AutoModel.from_pretrained("sanchit-gandhi/tiny-random-bart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sanchit-gandhi/tiny-random-bart: direct link, hf CLI and curl.
- Browser
- Download file 135 kB
-
https://huggingface.co/sanchit-gandhi/tiny-random-bart/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sanchit-gandhi/tiny-random-bart/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sanchit-gandhi/tiny-random-bart/resolve/main/pytorch_model.bin
135 kB
- Xet hash:
- 9bd814b5bcb8e028400af9e1ab2c827f3085dbcb115a05df8600f4826871ed9e
- Size of remote file:
- 135 kB
- SHA256:
- 1b2e8b937f2081ceafe176e9d2d56565690b10ca217717b6898caf6852638705
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