Instructions to use texturejc/texture-frames-frame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use texturejc/texture-frames-frame with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="texturejc/texture-frames-frame")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("texturejc/texture-frames-frame", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
a57ee8d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0f8d6ec4ab5faca054926d249384896db60c41b8788d3f3480b9305dd17de0df
size 1749219067
|