Instructions to use adasgaleus/insertion-prop-05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adasgaleus/insertion-prop-05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="adasgaleus/insertion-prop-05")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("adasgaleus/insertion-prop-05") model = AutoModelForTokenClassification.from_pretrained("adasgaleus/insertion-prop-05", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from adasgaleus/insertion-prop-05: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/adasgaleus/insertion-prop-05/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://adasgaleus/insertion-prop-05@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/adasgaleus/insertion-prop-05/resolve/refs%2Fpr%2F1/training_args.bin
3.45 kB
- Xet hash:
- 81f54572cefd8dc71779350d5fbbdb7ed9ff0831d5ae7516dc519cda8fdbf5d0
- Size of remote file:
- 3.45 kB
- SHA256:
- 071f391877255ecc603da3b8822d098d39ee5f3b6b60ad1a784a46f250b066f7
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