Instructions to use HarshithNLP/falcon7binstruct_mentalhealthmodel_oct23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HarshithNLP/falcon7binstruct_mentalhealthmodel_oct23 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("vilsonrodrigues/falcon-7b-instruct-sharded") model = PeftModel.from_pretrained(base_model, "HarshithNLP/falcon7binstruct_mentalhealthmodel_oct23") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa9dbbe922aef8e6d81ed0ee3ba4ec9177e6845b271fcf7f6fb61c62893839c5
- Size of remote file:
- 4.79 kB
- SHA256:
- c4684b3dea43127994f36d20b0c047a0341f3e54e5c6a9e3ca78bfe334ba4e9c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.