CLIP Model

This is a fine-tuned CLIP model for vision-language tasks.

Model Description

This model was fine-tuned from a base CLIP model and includes custom temperature scaling.

Usage

from transformers import CLIPModel, CLIPProcessor
import torch

# Load model and processor
model = CLIPModel.from_pretrained("aprendesc/CLIP_model_v0")
processor = CLIPProcessor.from_pretrained("aprendesc/CLIP_model_v0")

# Load temperature parameter if available
try:
    from huggingface_hub import hf_hub_download
    temperature_path = hf_hub_download(repo_id="aprendesc/CLIP_model_v0", filename="temperature.pth")
    temperature = torch.load(temperature_path, map_location='cpu')
    print(f"Temperature parameter: {temperature}")
except:
    print("No temperature parameter found")

# Use the model for inference
# ... your inference code here ...

Training Details

Base model: CLIP
Custom temperature scaling included
Fine-tuned for specific vision-language tasks