Instructions to use pbeyens/RandomCropped4-repo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pbeyens/RandomCropped4-repo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pbeyens/RandomCropped4-repo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pbeyens/RandomCropped4-repo") model = AutoModelForTokenClassification.from_pretrained("pbeyens/RandomCropped4-repo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pbeyens/RandomCropped4-repo: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/pbeyens/RandomCropped4-repo/resolve/main/training_args.bin
- Command line
-
hf download hf://pbeyens/RandomCropped4-repo/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pbeyens/RandomCropped4-repo/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 3442f7ed9a6c61e6dbe72ae005bc8e62046a599a558a615a50c430dbb9056ded
- Size of remote file:
- 4.09 kB
- SHA256:
- acaba21e811071753926d8229648f9e5b72c90d82fe8769a076aed97230638ee
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