Instructions to use Evuv/bart_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Evuv/bart_base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Evuv/bart_base") model = AutoModelForSeq2SeqLM.from_pretrained("Evuv/bart_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Evuv/bart_base: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/Evuv/bart_base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Evuv/bart_base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Evuv/bart_base/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 29946dafc81947e59deedcbda0a2cab720bb0006c78c3351dfa101e3da74bd22
- Size of remote file:
- 558 MB
- SHA256:
- d6e264dd3cb7ffea05c0da639112ec0703d4744c3136db1e4ffb42c29069965c
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