Instructions to use lopho/Wan2.2-T2V-A14B-Diffusers_bf16_text_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lopho/Wan2.2-T2V-A14B-Diffusers_bf16_text_encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lopho/Wan2.2-T2V-A14B-Diffusers_bf16_text_encoder") model = AutoModel.from_pretrained("lopho/Wan2.2-T2V-A14B-Diffusers_bf16_text_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ab1417ced0c53f7b12d694d35f06b9aaf60299699a44708fb942da35abec49c
- Size of remote file:
- 11.4 GB
- SHA256:
- accacb722db35bffffd823d8a610fe224b5e0a1f624f0e21d5d34efd5455bb7d
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