Instructions to use pythontech9/banking-chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pythontech9/banking-chatbot with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pythontech9/banking-chatbot") model = AutoModelForSeq2SeqLM.from_pretrained("pythontech9/banking-chatbot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c55f072f0f43fce544b2122845700c24b80e0189e0068e01f56141ca1015c2cd
- Size of remote file:
- 5.3 kB
- SHA256:
- 1865a9744d25ec269ea959af78b0c14ec228ad544bc023ee7f91c131662dc463
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.