Instructions to use pbeyens/RandomCropped2-repo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pbeyens/RandomCropped2-repo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pbeyens/RandomCropped2-repo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pbeyens/RandomCropped2-repo") model = AutoModelForTokenClassification.from_pretrained("pbeyens/RandomCropped2-repo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pbeyens/RandomCropped2-repo: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/pbeyens/RandomCropped2-repo/resolve/main/training_args.bin
- Command line
-
hf download hf://pbeyens/RandomCropped2-repo/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pbeyens/RandomCropped2-repo/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 04b502458303a7085a2d326ee71e77c808c2b5265905cf986fc47dde8ef3e8e2
- Size of remote file:
- 3.96 kB
- SHA256:
- f3fd8338c99f2ecb12c15a3d2ed328e6248e4db4ae1bfcfeceb8c1bfee65e6b1
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