Instructions to use stuartmesham/deberta-large_spell_10k_2_p3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stuartmesham/deberta-large_spell_10k_2_p3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="stuartmesham/deberta-large_spell_10k_2_p3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("stuartmesham/deberta-large_spell_10k_2_p3") model = AutoModelForTokenClassification.from_pretrained("stuartmesham/deberta-large_spell_10k_2_p3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from stuartmesham/deberta-large_spell_10k_2_p3: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/stuartmesham/deberta-large_spell_10k_2_p3/resolve/main/training_args.bin
- Command line
-
hf download hf://stuartmesham/deberta-large_spell_10k_2_p3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/stuartmesham/deberta-large_spell_10k_2_p3/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- bf7ebaac504181e371edcc822330033522e2f38280c8c94a2254814c84519b02
- Size of remote file:
- 3.44 kB
- SHA256:
- eaf0d284c51f6e63683ee3b2ecdce663c8473a55ed0d8050160a9d3235dc4aaa
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