Automatic Speech Recognition
PEFT
Safetensors
lora
spoken-dialogue
tool-use
medical-front-desk
chinese
synthetic-data
Instructions to use v1tavitavita/voxmind-medical-action-state-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use v1tavitavita/voxmind-medical-action-state-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("leungtianle/VoxMind") model = PeftModel.from_pretrained(base_model, "v1tavitavita/voxmind-medical-action-state-adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2200390feccd76f49922c6b5fb8ed149a115a20dc4af31d31a5f2e48362fee2c
- Size of remote file:
- 162 MB
- SHA256:
- ee997122b2c52afd7ce633e6fa56c2940fb79481ee78ca7c0bef7aff478848c1
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