Instructions to use aloobun/rmfg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aloobun/rmfg with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="aloobun/rmfg", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("aloobun/rmfg", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature493d433 -
Update README.md
Verified signaturee7aff9f -
Update README.md
Verified signature6c14bd3 -
Update README.md
Verified signature3009be2 -
Upload tokenizer
Verified signatureabbf6af -
Upload Moondream
Verified signature366f5a7 -
Upload folder using huggingface_hub
Verified signatureb199980 -
initial commit
Verified signature6bf40cb