Instructions to use Pyke/bart-finetuned-on-patent-Deepspeed-Test004 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pyke/bart-finetuned-on-patent-Deepspeed-Test004 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Pyke/bart-finetuned-on-patent-Deepspeed-Test004") model = AutoModelForSeq2SeqLM.from_pretrained("Pyke/bart-finetuned-on-patent-Deepspeed-Test004") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbbd59a02e09f91fbc26598bf7cff6a96ca956d543baffa666164a49879c9c0e
- Size of remote file:
- 1.63 GB
- SHA256:
- 05be274086bdd7810e33433817eadb53c7a48a621a3b4e7fc280054a3738e2d9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.