Instructions to use hf-tiny-model-private/tiny-random-BigBirdForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-BigBirdForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-BigBirdForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ef41352e23fbed3d39a57f572be24dcdf02484223e2814da09c4ed442be86bd
- Size of remote file:
- 6.55 MB
- SHA256:
- d6cd6d49fae67890c6f166e66338bcdc452825576d2a078dcced6c4af5a690c1
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