Instructions to use midas/gupshup_h2e_bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use midas/gupshup_h2e_bart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("midas/gupshup_h2e_bart") model = AutoModelForSeq2SeqLM.from_pretrained("midas/gupshup_h2e_bart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
4561d9c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:134537709239d56519010c29bb2e5cfb35f57ae793fd03b3d8b054ebd3c69757
size 557982911
|