Instructions to use ghadeermobasher/Model_org with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/Model_org with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/Model_org")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/Model_org") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/Model_org", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ghadeermobasher/Model_org: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/ghadeermobasher/Model_org/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ghadeermobasher/Model_org/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ghadeermobasher/Model_org/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- e49cf0a36df9d0d3354c8d08d1fad2ae7cd0308c6414cb7b12150fb1c5bda211
- Size of remote file:
- 436 MB
- SHA256:
- 87f19cdbb1daf94a2bc1a4408fab3f626bba3de44d803d41111be9a4b67fea59
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