Instructions to use izaitova/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use izaitova/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="izaitova/test-trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("izaitova/test-trainer") model = AutoModelForTokenClassification.from_pretrained("izaitova/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from izaitova/test-trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.53 kB
-
https://huggingface.co/izaitova/test-trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://izaitova/test-trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/izaitova/test-trainer/resolve/main/training_args.bin
4.53 kB
- Xet hash:
- 81cd7a386d1e21e3ddb2eb7a9162d7e71285f16d8494f3b8271f1fbd3366c43a
- Size of remote file:
- 4.53 kB
- SHA256:
- 7edf44316e1e64d4104a9ab55c541c6ef9a388ee61dd822b4529b2d8ee3e16fd
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