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 model.safetensors from hf-internal-testing/tiny-random-CanineForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 4.46 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-CanineForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-CanineForTokenClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-CanineForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
4.46 MB
- Xet hash:
- 901365939c1a7d4a8cdf500393509082d4afb9abb1f3825837c0ed2969f988dd
- Size of remote file:
- 4.46 MB
- SHA256:
- e62889e93d4e8b68eb1768d2663e475e2473f947d6169590f40cb57290fad04c
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