Instructions to use hf-internal-testing/tiny-random-BrosForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BrosForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-BrosForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-BrosForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-BrosForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-BrosForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 910 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-BrosForTokenClassification/resolve/0ce0ec0d813ea4d589d971d47bc9bc0096ca6847/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-BrosForTokenClassification@0ce0ec0d813ea4d589d971d47bc9bc0096ca6847/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-BrosForTokenClassification/resolve/0ce0ec0d813ea4d589d971d47bc9bc0096ca6847/pytorch_model.bin
910 kB
- Xet hash:
- 723e95c5c8d9994922bc8bf5364759f606f8524afdbfa6ee3c3ef7e157affabb
- Size of remote file:
- 910 kB
- SHA256:
- 508d372e95761ff8a1855cb77070a3140a33643118e8644c6461d565385873a3
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