Feature Extraction
Transformers
Safetensors
Thai
English
clip_text_camembert
openthaigpt
custom_code
Instructions to use openthaigpt/CLIPTextCamembertModelWithProjection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openthaigpt/CLIPTextCamembertModelWithProjection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="openthaigpt/CLIPTextCamembertModelWithProjection", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openthaigpt/CLIPTextCamembertModelWithProjection", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Verified signature## Usage: - How to load the text encoder (with CLIP's image decoder) - How to use the model ## Eample of model usage in these tasks: - Zero shot classification - Text-Image retrieval ## Citation (todo: discuss with Boat)30359ae
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