Instructions to use hf-internal-testing/tiny-random-BigBirdForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BigBirdForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-BigBirdForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BigBirdForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-BigBirdForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e5e89e0a04fe73d99cc6df300422083361e7609f0e981f0a47dd84b297896ab
- Size of remote file:
- 6.55 MB
- SHA256:
- ed8d421f472842067b4d3384d2d2b044a67e514bfef68feb7c3d61a60f2d7108
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