Instructions to use ruanchaves/mdeberta-v3-base-harem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruanchaves/mdeberta-v3-base-harem with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ruanchaves/mdeberta-v3-base-harem")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ruanchaves/mdeberta-v3-base-harem") model = AutoModelForTokenClassification.from_pretrained("ruanchaves/mdeberta-v3-base-harem") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 325ae79abfe3eb336a6441278459011ce9ca88d934ca78728b5547aff0a8d3ff
- Size of remote file:
- 3.7 kB
- SHA256:
- d485ec9fe7518da7654470effe362c0e05e8620f145f01b2082eb8fddb28687e
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