Instructions to use zer0int/CLIP-GmP-ViT-L-14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zer0int/CLIP-GmP-ViT-L-14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="zer0int/CLIP-GmP-ViT-L-14") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("zer0int/CLIP-GmP-ViT-L-14") model = AutoModelForZeroShotImageClassification.from_pretrained("zer0int/CLIP-GmP-ViT-L-14") - Notebooks
- Google Colab
- Kaggle
Does this fix the 20 token problem?
2
#16 opened about 1 year ago
by
ppbrown
Just reinstalled comfy and i don't remember what CLIP i need...
1
#15 opened about 1 year ago
by
ZeroCool22
this only for sdxl and not ponyxl or Illustrious?
1
#14 opened over 1 year ago
by
venluxy
SwarmUI
2
#13 opened over 1 year ago
by
skillszone
Recommended for Stable Diffusion 3.5 Large?
1
#12 opened over 1 year ago
by
mimizukari
Are the long (248) vs short (77) text enhancing models similar quality for great text? and just different token length compatability?
3
#11 opened over 1 year ago
by
aydin99
Difference between 300 MB and 900 MB versions?
1
#10 opened over 1 year ago
by
Geralt28
What text can be generated?
2
#9 opened over 1 year ago
by
CASIDIO
Is it okay to use for Flux Lora training?
3
#8 opened over 1 year ago
by
WilsonModt
Works with GGUF?
4
#7 opened over 1 year ago
by
PuReEnErGy84
which file to use with flux
1
#6 opened over 1 year ago
by
Ai11Ali
nice job!
4
#5 opened over 1 year ago
by
vladmandic
Instructions for deployment/use?
5
#4 opened over 1 year ago
by
sanctimon
Diffusors missing config.json file
13
#3 opened over 1 year ago
by
jspaun