Instructions to use uhhlt/comp-seqlab-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uhhlt/comp-seqlab-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="uhhlt/comp-seqlab-deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("uhhlt/comp-seqlab-deberta") model = AutoModelForTokenClassification.from_pretrained("uhhlt/comp-seqlab-deberta") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a9f13cfae4e1ef0f8f1e34f1e5c9c4f8e9697484cffbd21d3c64f51ddab2a72e
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size 735365964
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