Instructions to use Jyotiyadav/InsuranceModel1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jyotiyadav/InsuranceModel1.0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jyotiyadav/InsuranceModel1.0") model = AutoModelForSeq2SeqLM.from_pretrained("Jyotiyadav/InsuranceModel1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 298e2105833299fd435089f40c4ea853c7f1ef3a22fc8f0ed28b0ed87c941659
- Size of remote file:
- 5.3 kB
- SHA256:
- 2221bd400c9bbd5c7fc3fac3ea21cc20204313b92e5f70a513d38a266ba5c546
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.