Instructions to use kundank/usb-evidence_extraction-flant5xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kundank/usb-evidence_extraction-flant5xl with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kundank/usb-evidence_extraction-flant5xl") model = AutoModelForSeq2SeqLM.from_pretrained("kundank/usb-evidence_extraction-flant5xl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00002-of-00002.bin from kundank/usb-evidence_extraction-flant5xl: direct link, hf CLI and curl.
- Browser
- Download file 1.95 GB
-
https://huggingface.co/kundank/usb-evidence_extraction-flant5xl/resolve/main/pytorch_model-00002-of-00002.bin
- Command line
-
hf download hf://kundank/usb-evidence_extraction-flant5xl/pytorch_model-00002-of-00002.bin
-
curl -L -o pytorch_model-00002-of-00002.bin https://huggingface.co/kundank/usb-evidence_extraction-flant5xl/resolve/main/pytorch_model-00002-of-00002.bin
1.95 GB
- Xet hash:
- 8438f2e6690413cc5fb8a31defb9af685839879668349bae9e6a42e6da13595e
- Size of remote file:
- 1.95 GB
- SHA256:
- a86afe59a66da83c8ff63d397df946262040316a3496e4108ad440b9f77379b7
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