Instructions to use yam1ke/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yam1ke/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yam1ke/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yam1ke/test") model = AutoModelForTokenClassification.from_pretrained("yam1ke/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yam1ke/test: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/yam1ke/test/resolve/main/training_args.bin
- Command line
-
hf download hf://yam1ke/test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yam1ke/test/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- cfa360858795dee0f2da7677966db58aedf5c2b6ebb599d6bb2d40586205084a
- Size of remote file:
- 3.25 kB
- SHA256:
- 92cabac3bb8dbd008501c2994904b91ff091976ba1d550aefe7829e78d3e0f9d
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