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:
- 5e0826c1c394bc94b8febb400cbedf161136f94763f7a77fd75913de29bf983a
- Size of remote file:
- 5.71 kB
- SHA256:
- 5b8889dab7bf6990efb2768e48c4b1b299fa5ec73bf50e86f7dd0d6b10e515ef
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