Instructions to use nbasatish/financial-BART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbasatish/financial-BART with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nbasatish/financial-BART") model = AutoModelForSeq2SeqLM.from_pretrained("nbasatish/financial-BART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nbasatish/financial-BART: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/nbasatish/financial-BART/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nbasatish/financial-BART/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nbasatish/financial-BART/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 9d45a741ad21d76a86a4a6fc7763a16dfc23568637248b1c2b11d6ebc0c1e9a1
- Size of remote file:
- 1.63 GB
- SHA256:
- cc783d8b6076fbc086d91664e328ff8b3cd9e51dd7e19961a85d4cdfad80a018
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