Instructions to use amir7d0/clip-text-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amir7d0/clip-text-fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="amir7d0/clip-text-fa")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("amir7d0/clip-text-fa") model = AutoModel.from_pretrained("amir7d0/clip-text-fa") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d3eab544ee01d358c1e766e6c6679c8b6e9c73f8c7eb576a902d41f34cebe40
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size 473219024
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