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 pytorch_model.bin from ghadeermobasher/Model_org_2: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/ghadeermobasher/Model_org_2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ghadeermobasher/Model_org_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ghadeermobasher/Model_org_2/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- ccf480339f545979cd391c8fb2621df097d6ab80894ff18bdfd989a357cb49ab
- Size of remote file:
- 436 MB
- SHA256:
- c10871a54238f37964e145c8138de75a50cc45e4e86f911b2b8bde348612476b
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