Instructions to use LeroyDyer/SpydazWeb_Speech_Vision_EncoderDecoder_Multimodal_5b_Project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeroyDyer/SpydazWeb_Speech_Vision_EncoderDecoder_Multimodal_5b_Project with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LeroyDyer/SpydazWeb_Speech_Vision_EncoderDecoder_Multimodal_5b_Project", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from LeroyDyer/SpydazWeb_Speech_Vision_EncoderDecoder_Multimodal_5b_Project: direct link, hf CLI and curl.
- Browser
- Download file 493 kB
-
https://huggingface.co/LeroyDyer/SpydazWeb_Speech_Vision_EncoderDecoder_Multimodal_5b_Project/resolve/main/tokenizer.model
- Command line
-
hf download hf://LeroyDyer/SpydazWeb_Speech_Vision_EncoderDecoder_Multimodal_5b_Project/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/LeroyDyer/SpydazWeb_Speech_Vision_EncoderDecoder_Multimodal_5b_Project/resolve/main/tokenizer.model
493 kB
- Xet hash:
- 36a4fd49ed94c9909f613bb684b0241803c55c64281de506733c1d3ab54cbbf8
- Size of remote file:
- 493 kB
- SHA256:
- cc460a0129515b7579ec9f63218012601729de4fbd1b5de8d56dc47e8a204a29
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