Instructions to use CICLAB-Comillas/BARTSumpson with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CICLAB-Comillas/BARTSumpson with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CICLAB-Comillas/BARTSumpson") model = AutoModelForSeq2SeqLM.from_pretrained("CICLAB-Comillas/BARTSumpson", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from CICLAB-Comillas/BARTSumpson: direct link, hf CLI and curl.
- Browser
- Download file 3.25 GB
-
https://huggingface.co/CICLAB-Comillas/BARTSumpson/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://CICLAB-Comillas/BARTSumpson@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CICLAB-Comillas/BARTSumpson/resolve/refs%2Fpr%2F1/optimizer.pt
3.25 GB
- Xet hash:
- e4607bd47c8bb96f597f0e44ac27e0ba12ca8f9a50db144915532fde89a53bc3
- Size of remote file:
- 3.25 GB
- SHA256:
- 2269ba175c0ddb85ee39653cf80fdc8b608fadb676cf88ffda4a5da3ec8cd6c6
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