Instructions to use midas/gupshup_h2e_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use midas/gupshup_h2e_t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("midas/gupshup_h2e_t5") model = AutoModelForSeq2SeqLM.from_pretrained("midas/gupshup_h2e_t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
2ccc482 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f504a53c8ea2837691454a4bedc04be2c915d23306a2e2704b63672ccf6d3161
size 891736699
|