Instructions to use hf-internal-testing/tiny-random-MegaForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegaForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-MegaForTokenClassification")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-MegaForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34b0110f339fd702f88ecf083d5e90eabd90a048c2130920e072c0c223c41a54
- Size of remote file:
- 406 kB
- SHA256:
- 77d6323ddd20873ca03b6bcf962b45c1a21104328e948309f8d3b23f47c30dee
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