Instructions to use ghadeermobasher/Model_imb_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/Model_imb_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/Model_imb_1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/Model_imb_1") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/Model_imb_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ghadeermobasher/Model_imb_1: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/ghadeermobasher/Model_imb_1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ghadeermobasher/Model_imb_1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ghadeermobasher/Model_imb_1/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- fd278221f1d1628d7bac7f9ee6ae9aa52ecd9aaad92ba5df6a8f4b51543d56c4
- Size of remote file:
- 436 MB
- SHA256:
- 07b535608e2524d0f73add775fc589f014b77c758076131488f7309f72c66146
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