Instructions to use werent4/larger_clap_general_text_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use werent4/larger_clap_general_text_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("werent4/larger_clap_general_text_model") model = AutoModel.from_pretrained("werent4/larger_clap_general_text_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from werent4/larger_clap_general_text_model: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/werent4/larger_clap_general_text_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://werent4/larger_clap_general_text_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/werent4/larger_clap_general_text_model/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.