Instructions to use helliun/bart-large-datadive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/bart-large-datadive with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("helliun/bart-large-datadive") model = AutoModelForSeq2SeqLM.from_pretrained("helliun/bart-large-datadive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from helliun/bart-large-datadive: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/helliun/bart-large-datadive/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://helliun/bart-large-datadive/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/helliun/bart-large-datadive/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 8217899e8a30bddd93830550e9204ba3bd9076dc1b6ac3296893b988c550622c
- Size of remote file:
- 1.63 GB
- SHA256:
- 4b2ec47987360a76d59d81dca809da3f75b26c92b1eb2a11520fae69947913e7
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