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:
- d62c00f334545bb205cc0260acbe326d075722e9f2c6fa374d29d6d9fe5841b3
- Size of remote file:
- 406 kB
- SHA256:
- c45269058d31f1e88286e0be8d3a6777fe00782256dd65a79a51c4cdb04aba8b
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