Image-to-Text
Transformers
Safetensors
English
phi
text-generation
vision-language
llava
clip
qlora
multimodal
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use sagar007/Lava_phi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagar007/Lava_phi 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="sagar007/Lava_phi")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("sagar007/Lava_phi") model = AutoModelForCausalLM.from_pretrained("sagar007/Lava_phi") - Notebooks
- Google Colab
- Kaggle