Instructions to use ghadeermobasher/Model_col-mod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/Model_col-mod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/Model_col-mod")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/Model_col-mod") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/Model_col-mod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ghadeermobasher/Model_col-mod: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/ghadeermobasher/Model_col-mod/resolve/main/training_args.bin
- Command line
-
hf download hf://ghadeermobasher/Model_col-mod/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ghadeermobasher/Model_col-mod/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- e82828c12f9cefbb1b077e82cf7a0f814cb61cc3a3ad8d117b1b67fc5baf0370
- Size of remote file:
- 2.86 kB
- SHA256:
- 6633d897c6ec7bb614e5dbaf002393b85e06f79e3043b9062166164cbc918b83
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