Instructions to use hf-internal-testing/tiny-random-CanineForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-CanineForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-CanineForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-CanineForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-CanineForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-CanineForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 4.49 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-CanineForTokenClassification/resolve/e8e34ede82a2161ed41fc7f2cf717d6a096f0939/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-CanineForTokenClassification@e8e34ede82a2161ed41fc7f2cf717d6a096f0939/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-CanineForTokenClassification/resolve/e8e34ede82a2161ed41fc7f2cf717d6a096f0939/pytorch_model.bin
4.49 MB
- Xet hash:
- 9e7a07e7a3020c1ea22ed5c93769c55718488d165dd5179097dddf7d4b0d265c
- Size of remote file:
- 4.49 MB
- SHA256:
- 0f4c5cce1c2cdb8f3af90bc88518f3de222cabe8307d75cb1178a3989694c2cc
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