Instructions to use natalierobbins/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use natalierobbins/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="natalierobbins/test_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("natalierobbins/test_model") model = AutoModelForTokenClassification.from_pretrained("natalierobbins/test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from natalierobbins/test_model: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/natalierobbins/test_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://natalierobbins/test_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/natalierobbins/test_model/resolve/main/pytorch_model.bin
266 MB
- Xet hash:
- 0d4d21a2ec44339cc37b3453f8e8e9110762ff86f0d8c07fd197dd9bbdb7ba99
- Size of remote file:
- 266 MB
- SHA256:
- 6e558cefed8aeaa06a3c1bf485750ebb0b2e99cf97682995325c66befdd40791
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