Instructions to use bn22/experimental-te-ft-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bn22/experimental-te-ft-2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, CLIPTextModelWithProjection tokenizer = AutoTokenizer.from_pretrained("bn22/experimental-te-ft-2") model = CLIPTextModelWithProjection.from_pretrained("bn22/experimental-te-ft-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bn22/experimental-te-ft-2: direct link, hf CLI and curl.
- Browser
- Download file 3.64 MB
-
https://huggingface.co/bn22/experimental-te-ft-2/resolve/main/tokenizer.json
- Command line
-
hf download hf://bn22/experimental-te-ft-2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/bn22/experimental-te-ft-2/resolve/main/tokenizer.json
3.64 MB
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