Instructions to use ghadeermobasher/Model_org_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/Model_org_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/Model_org_1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/Model_org_1") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/Model_org_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ghadeermobasher/Model_org_1: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/ghadeermobasher/Model_org_1/resolve/main/training_args.bin
- Command line
-
hf download hf://ghadeermobasher/Model_org_1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ghadeermobasher/Model_org_1/resolve/main/training_args.bin
2.8 kB
- Xet hash:
- 9ea4873e796446518537c2baa4a8a24e0804c3d321d631199a002693e83e963c
- Size of remote file:
- 2.8 kB
- SHA256:
- 5aef031d8fbf7b5d4463fe910f103f065fee29ceaa0b32448e0e1ac8e0f6c15b
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