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:
- 3d34cb4b902f5aa133ed6acd8c43ed81c44cdc8e75fa2fe6a734c1685c31f745
- Size of remote file:
- 406 kB
- SHA256:
- 81222c71ff91982ecd9e6032723b951b60bf50af13c9e61a32b62f189d6bdf71
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