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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hf-internal-testing/tiny-random-YosoForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-YosoForTokenClassification/resolve/cfaf8f40ce86ea00d8136b4322ce49b8d318554d/tokenizer.json
- Command line
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hf download hf://hf-internal-testing/tiny-random-YosoForTokenClassification@cfaf8f40ce86ea00d8136b4322ce49b8d318554d/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-YosoForTokenClassification/resolve/cfaf8f40ce86ea00d8136b4322ce49b8d318554d/tokenizer.json
2.11 MB
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