Image-Text-to-Text
PEFT
Safetensors
lora
muse-glimmer
json
structured-output
api
tool-use
conversational
Instructions to use yogeshjog/muse-glimmer-json-api with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yogeshjog/muse-glimmer-json-api with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-models/Muse-Glimmer-30B") model = PeftModel.from_pretrained(base_model, "yogeshjog/muse-glimmer-json-api") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f89930c709b5f7103e260b59259e1197c070b4905f44d102d859b81c3d662f83
- Size of remote file:
- 28.1 MB
- SHA256:
- c9dbee66967b58f31a7c27f723c3760da3526ccd0427578e8905b0abb0031c4d
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