Instructions to use konakona/t5xxl_encoder_fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use konakona/t5xxl_encoder_fp8 with Transformers:
# Load model directly from transformers import AutoTokenizer, T5EncoderModelFP8 tokenizer = AutoTokenizer.from_pretrained("konakona/t5xxl_encoder_fp8") model = T5EncoderModelFP8.from_pretrained("konakona/t5xxl_encoder_fp8") - Notebooks
- Google Colab
- Kaggle
Install: https://github.com/KONAKONA666/q8_kernels
Usage
import torch
from q8_kernels.models.T5EncoderFP8 import T5EncoderModelFP8
text_encoder = T5EncoderModelFP8.from_pretrained(
"konakona/t5xxl_encoder_fp8", torch_dtype=torch.bfloat16
)
Needed dX for token training(PTI and textual inversion) in LTX.
dX is in bf16, calculations in FP8
Needs Ada GPU
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