Instructions to use hf-internal-testing/tiny-random-YosoForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-YosoForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-YosoForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-YosoForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-YosoForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7743081fd314e72300314c8bfecf95c1e9e54eb9e3abf8684344f8695fbb0ac
- Size of remote file:
- 367 kB
- SHA256:
- 06f3cbfd3e58dd301c373635d87470c6bdfe03e826e26aa627c0e773bb153bae
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