Instructions to use ghadeermobasher/Model_org_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/Model_org_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/Model_org_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/Model_org_2") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/Model_org_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ghadeermobasher/Model_org_2: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/ghadeermobasher/Model_org_2/resolve/main/training_args.bin
- Command line
-
hf download hf://ghadeermobasher/Model_org_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ghadeermobasher/Model_org_2/resolve/main/training_args.bin
2.8 kB
- Xet hash:
- e0ddf78f436a327a0478ee258f1009bb72500af1e30b052574162d3ff8aede48
- Size of remote file:
- 2.8 kB
- SHA256:
- 1fbe6f40b8caa3ef0ffc4bdfe6262e0e6baa487d945181998f4f6bc3f713ed77
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