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 pytorch_model.bin from ghadeermobasher/Model_col-mod: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/ghadeermobasher/Model_col-mod/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://ghadeermobasher/Model_col-mod@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ghadeermobasher/Model_col-mod/resolve/refs%2Fpr%2F1/pytorch_model.bin
436 MB
- Xet hash:
- 9c9428f82be5997a010609f297aa9c296414ca7cacce8d6a2d2998c012a460d3
- Size of remote file:
- 436 MB
- SHA256:
- df7c0d7cac83d51081ed471f008e8fa76d04285812be42267f2ccae112ae5dc0
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