Instructions to use Blgn94/testingModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Blgn94/testingModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Blgn94/testingModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Blgn94/testingModel") model = AutoModelForTokenClassification.from_pretrained("Blgn94/testingModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Blgn94/testingModel: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/Blgn94/testingModel/resolve/main/training_args.bin
- Command line
-
hf download hf://Blgn94/testingModel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Blgn94/testingModel/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- a77939d866a904d248f129fb24996227c7f684ad8d55430b64f8e6c247fe9208
- Size of remote file:
- 3.52 kB
- SHA256:
- 9951f9cf99f05d5cbdaf692de4433209d51d4855e5119a63b0bda57743439fb4
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