Instructions to use superman/testingmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use superman/testingmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="superman/testingmodel", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("superman/testingmodel") model = AutoModelForTokenClassification.from_pretrained("superman/testingmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9fc7af48c6233c9433526aca224740a8c8396a3132a718f328539e8dc764af1
- Size of remote file:
- 2.67 kB
- SHA256:
- 230cf7f45ff15b5208c27a7d73051ab10ca0456a3a512413de9da4c51bb33d2c
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