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
Delete folder checkpoint-6440 with huggingface_hub
Browse files
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checkpoint-6440/training_args.bin
DELETED
|
@@ -1,3 +0,0 @@
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|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:74437768892f28df5eb9cd67dc81c630774091f4cf430ac604b093bf8b442dbd
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| 3 |
-
size 5201
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