Instructions to use hf-tiny-model-private/tiny-random-YosoForTokenClassification 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-YosoForTokenClassification 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-YosoForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-YosoForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-YosoForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-YosoForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 367 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-YosoForTokenClassification/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-YosoForTokenClassification@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-YosoForTokenClassification/resolve/refs%2Fpr%2F1/pytorch_model.bin
367 kB
- Xet hash:
- 4342bd7c636c979200efb2102316e8398b65ab9de1e17e4d3577d25b4048ff65
- Size of remote file:
- 367 kB
- SHA256:
- e652d81b2e113afecbc764e4d37b348a1a534d22a5dcbc31b2c020df7bb1fa5e
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