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
| { | |
| "$schema": "https://json-schema.org/draft/2020-12/schema", | |
| "title": "Muse JSON API Response", | |
| "type": "object", | |
| "additionalProperties": false, | |
| "required": [ | |
| "status", | |
| "type", | |
| "data", | |
| "message", | |
| "error", | |
| "meta" | |
| ], | |
| "properties": { | |
| "status": { | |
| "type": "integer", | |
| "minimum": 100, | |
| "maximum": 599 | |
| }, | |
| "type": { | |
| "enum": [ | |
| "code", | |
| "error", | |
| "media", | |
| "multimodal", | |
| "response", | |
| "tool_call", | |
| "vision" | |
| ] | |
| }, | |
| "data": {}, | |
| "message": { | |
| "type": "string" | |
| }, | |
| "error": { | |
| "type": [ | |
| "object", | |
| "null" | |
| ] | |
| }, | |
| "meta": { | |
| "type": "object" | |
| } | |
| } | |
| } |