Instructions to use hf-internal-testing/tiny-random-RobertaForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RobertaForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-RobertaForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RobertaForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-RobertaForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 811dc26f6fd993fb1e5939ac7534b5d6106c137ce982b4b8d4ab6ced7d9cdd92
- Size of remote file:
- 462 kB
- SHA256:
- 7b76fef0e13a122f965ab9866fb4de0614ac90a6eefb0764dd7ec0bcbe8049b5
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