Instructions to use hf-internal-testing/tiny-random-XmodForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-XmodForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-XmodForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-XmodForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-XmodForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-XmodForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 32.3 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-XmodForTokenClassification/resolve/ab3650b695fcaa6c657532f462e5693c9fca1a85/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-XmodForTokenClassification@ab3650b695fcaa6c657532f462e5693c9fca1a85/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-XmodForTokenClassification/resolve/ab3650b695fcaa6c657532f462e5693c9fca1a85/pytorch_model.bin
32.3 MB
- Xet hash:
- c72d3589dc5b5647de26a104a034f20ee8b9753a107ee7109335b9b5a63e42eb
- Size of remote file:
- 32.3 MB
- SHA256:
- 24540bf6c8f974cf85f29f0b90ccf14e6eaf451f1638895ecd52dd43919dcbaa
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