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 model.safetensors from hf-internal-testing/tiny-random-YosoForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 349 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-YosoForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-YosoForTokenClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-YosoForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
349 kB
- Xet hash:
- 86816332d346215feebc29767dcc552351656626908dd1232bcee04fcad6d273
- Size of remote file:
- 349 kB
- SHA256:
- df194343fef2a4f620fdc42971d5dc6e4c71a4dc09138ecb4b1e726877a0cd36
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