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/a0f0a02732b4579670dad11a69ae244ebd777b49/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-XmodForTokenClassification@a0f0a02732b4579670dad11a69ae244ebd777b49/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-XmodForTokenClassification/resolve/a0f0a02732b4579670dad11a69ae244ebd777b49/pytorch_model.bin
32.3 MB
- Xet hash:
- 72198bfd4dd990a4fe69c319e536e00c7d3fe0200fb1bd0040e0a6f3d40386f5
- Size of remote file:
- 32.3 MB
- SHA256:
- f09d0dc980a676e494ad438fd4ca61ce51dccdf3caa3bad9938c903182c8e437
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