Token Classification
Transformers
English
frame-semantics
framenet
semantic-parsing
srl
argument-extraction
english
Instructions to use texturejc/texture-frames-args with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use texturejc/texture-frames-args with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="texturejc/texture-frames-args")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("texturejc/texture-frames-args", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete folder checkpoint-7437 with huggingface_hub
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checkpoint-7437/training_args.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:d58909b889894bf332483adc7572ec6f0871c70082613ece0a5e87c6c34d05d8
|
| 3 |
-
size 5265
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