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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ee6233b417a20832aca364e70c046b39d9d4466c1b4b40a77f850ca0f7c1f2a
- Size of remote file:
- 382 kB
- SHA256:
- 302c69bdf34dc79347aec8908f11fe3afc6778d0003f9bf0f92d9115f5256707
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