Instructions to use pbeyens/RandomCropped-repo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pbeyens/RandomCropped-repo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pbeyens/RandomCropped-repo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pbeyens/RandomCropped-repo") model = AutoModelForTokenClassification.from_pretrained("pbeyens/RandomCropped-repo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pbeyens/RandomCropped-repo: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/pbeyens/RandomCropped-repo/resolve/main/training_args.bin
- Command line
-
hf download hf://pbeyens/RandomCropped-repo/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pbeyens/RandomCropped-repo/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 8b2c0ae0be9fcbbfa0af1c94991904653ba6258e5b2b67e1643888e84a8f517e
- Size of remote file:
- 3.96 kB
- SHA256:
- 7bb384e9fb0880cfece6403d97cdde63a3f564ed965a0c80e9240c057674c734
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