Instructions to use ghadeermobasher/Model_imb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/Model_imb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/Model_imb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/Model_imb") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/Model_imb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ghadeermobasher/Model_imb: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/ghadeermobasher/Model_imb/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ghadeermobasher/Model_imb/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ghadeermobasher/Model_imb/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- ef2738a954950994337d06f069788891f7c2dda2ac0b90b44fb2b562a3330483
- Size of remote file:
- 436 MB
- SHA256:
- a598b712e7a66354b88052f05b65bff0ebf516701d2d2c8845ca2bdce6da79fc
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