Instructions to use hf-internal-testing/tiny-random-FunnelForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FunnelForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-FunnelForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FunnelForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-FunnelForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b865f6e29d6942bc9e8e54e61bb764c936e52e879853225953f40ac84c3a42df
- Size of remote file:
- 315 kB
- SHA256:
- ce85844b0d5d39e4149ab9c0d781c0ab8b280faee9f7eb0f7c5d19fc0ea79122
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