Instructions to use ghadeermobasher/Model_imb_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/Model_imb_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/Model_imb_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/Model_imb_2") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/Model_imb_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ghadeermobasher/Model_imb_2: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/ghadeermobasher/Model_imb_2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ghadeermobasher/Model_imb_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ghadeermobasher/Model_imb_2/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- 1d6a440b7b4e3cb666194bb3bd0a7c0ec5528016ac53cadc63fbd4ca91ae723c
- Size of remote file:
- 436 MB
- SHA256:
- 49efe8fd52e36a2696313554ab6fca02ebf6475e6b7fa6836d393488206e144b
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