Instructions to use hf-tiny-model-private/tiny-random-ErnieForTokenClassification 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-ErnieForTokenClassification 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-ErnieForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ErnieForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-ErnieForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c3fe2bb22189c7cb027cebb6a6b352be465417b35cfd3e90ee8b68854588283
- Size of remote file:
- 380 kB
- SHA256:
- 64966136d92ccff452161c22112c8482e55948804354d7eaf80a32b17ec1bba8
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