Instructions to use ghadeermobasher/Model_co_imb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/Model_co_imb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/Model_co_imb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/Model_co_imb") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/Model_co_imb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ghadeermobasher/Model_co_imb: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/ghadeermobasher/Model_co_imb/resolve/main/training_args.bin
- Command line
-
hf download hf://ghadeermobasher/Model_co_imb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ghadeermobasher/Model_co_imb/resolve/main/training_args.bin
2.8 kB
- Xet hash:
- 3c6a275dc811c4f77e8cc49faa8fe6940e38a566401b52306479a4d7c831c8ff
- Size of remote file:
- 2.8 kB
- SHA256:
- 7f542ce6311bda8bc8bd11676e6c129f2434eea02ffa0238ff6497878b715a93
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